The selected applicant will be responsible for the design and development of real-time embedded systems of advanced radio communications equipment with a focus on network protocols and applications. Working in a team environment, design and develop software components required to implement features and capabilities for software defined radios. Participate in all phases of the software development life cycle (requirements analysis, high level design, detailed design, coding, unit test, integration, system level test). Prepare work estimates, schedule inputs and metric data to project management. Consult with other cross-functional engineering staff (electrical, mechanical, systems) to evaluate interfaces between hardware and software, and operational performance requirements of the overall system. Operates independently with direction from technical leads.
Qualifications:
Bachelor of Science in EE/CE/CS discipline along with 2+ years of directly related software experience.
Digital signal processing
Radio communications
Ability to design / analyze signal processing algorithms for various waveforms; detection / correlation / FEC algorithms
Ability to model and simulate signal processing algorithms utilizing C/C++ or MATLAB
Ability to work closely with developers implementing such algorithms, targeting FPGAs or DSPs
Ability to generate test vectors to verify implemented algorithms
Lab experience using boards (hardware)
Preferred Additional Skills:
Knowledge of TI Processors
Tactical Radio Communications
CMMI and standard software development processes
GIT, SVN, DOORs, JIRA
Good communication skills and a team player
Please be aware that many of our positions require a security clearance, or the ability to obtain one. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.
By submitting your résumé for this position, you understand and agree that Harris Corporation may share your résumé, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.
Harris is an Equal Opportunity/Affirmative Action Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state or local law.
Candidates will support Environment, Health and Safety by fulfilling the Harris EHS Policy, complying with Harris EHS programs and applicable regulations, and striving for continual EHS improvement.
May 31, 2019
Full-time
The selected applicant will be responsible for the design and development of real-time embedded systems of advanced radio communications equipment with a focus on network protocols and applications. Working in a team environment, design and develop software components required to implement features and capabilities for software defined radios. Participate in all phases of the software development life cycle (requirements analysis, high level design, detailed design, coding, unit test, integration, system level test). Prepare work estimates, schedule inputs and metric data to project management. Consult with other cross-functional engineering staff (electrical, mechanical, systems) to evaluate interfaces between hardware and software, and operational performance requirements of the overall system. Operates independently with direction from technical leads.
Qualifications:
Bachelor of Science in EE/CE/CS discipline along with 2+ years of directly related software experience.
Digital signal processing
Radio communications
Ability to design / analyze signal processing algorithms for various waveforms; detection / correlation / FEC algorithms
Ability to model and simulate signal processing algorithms utilizing C/C++ or MATLAB
Ability to work closely with developers implementing such algorithms, targeting FPGAs or DSPs
Ability to generate test vectors to verify implemented algorithms
Lab experience using boards (hardware)
Preferred Additional Skills:
Knowledge of TI Processors
Tactical Radio Communications
CMMI and standard software development processes
GIT, SVN, DOORs, JIRA
Good communication skills and a team player
Please be aware that many of our positions require a security clearance, or the ability to obtain one. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.
By submitting your résumé for this position, you understand and agree that Harris Corporation may share your résumé, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.
Harris is an Equal Opportunity/Affirmative Action Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state or local law.
Candidates will support Environment, Health and Safety by fulfilling the Harris EHS Policy, complying with Harris EHS programs and applicable regulations, and striving for continual EHS improvement.
Embedded software design engineer will be a member of a cross functional team with hands on responsibility for all phases of the software development process from requirements definition through integration and testing of completed product. Responsibilities will include system/software analysis, architecture definition, high-level design, detailed design, implementation, testing, documentation, and government certification of embedded software for radio or other communications products. Requires the application of the principles and techniques of computer science, engineering, and mathematical analysis.
Responsibilities:
Research, design, develop, modify and evaluate embedded computer software for electronic equipment or other communications systems in conjunction with hardware product development.
Determine design approaches and parameters. Analyze software requirements to determine feasibility of design within time and cost constraints. Analyze equipment to establish operating data, conduct experimental tests and evaluate results.
Perform detailed analysis including: requirements analysis, use case scenarios, conceptual design, trade studies, test, operation, maintenance, and reliability analysis of radio communications products, internal subsystems, and external systems.
Perform the functional analysis, requirements allocation and technical interface definition to translate customer requirements into software development specifications for the radio and associated subsystems.
Develop block diagrams and interface design specifications.
Work with product design, test, manufacturing, logistics engineering teams, product and program management and other groups, and external customers as needed to define and execute radio product development projects and deliver high-quality radio products.
Prepare design and implementation reviews and oversee the configuration management and control of requirements and design documentation, and development software. Present technical briefings and status reviews.
Ensure the conversion of customer requirements, including informal requirements, into total systems solutions that balance the technical, schedule and cost constraints of the program.
Consult with electrical engineers and other engineering staff to evaluate interface between hardware and software and operational performance requirements of the overall system.
Develop software system testing procedures and design documentation
Qualifications:
Bachelor of Science in Electrical Engineering, Computer Science, Software Engineering, or Computer Engineering.
Minimum of 4 years of experience (2 years with an MS degree) developing real-time embedded software in C or C++.
4+ years’ experience developing and testing software developed in C or C++.
2+ years’ experience with OOA/OOD software development methodology.
4+ years’ experience in full development lifecycle for software projects.
2+ years of experience producing software development documents, such as design documents and test plans.
Active Secret U.S. DOD Security Clearance (or inactive for less than 2 years).
This position requires the candidate to already possess an active DOD Secret clearance (or a DOD Secret clearance inactive less than 2 years which can be immediately reactivated), and to maintain the clearance.
US citizenship is required.
Preferred Additional Skills:
Experience developing software on an embedded microprocessor using an RTOS in C or C++.
Experience designing and developing device drivers.
Experience contributing to the development of software architecture.
Experience with UML and OOA/OOD software development methodology.
Experience with TCP/IP network protocols, routing, and writing network communications software in C or C++.
Experience in full development lifecycle for software projects.
Experience/knowledge of Capability Maturity Model (CMM)/Capability Maturity Model Integration (CMMI) systems and software development processes or other defined SW development process.
Familiarity with software analysis, design, development, testing (including software unit testing), and automation tools.
Highly motivated, a self-starter, and able to operate with little supervision in diverse environments.
A successful track record in planning, executing, and tracking personal task assignments.
Experience leading small product development teams and mentoring other engineers.
Demonstrated ability to analyze and debug software and related hardware issues.
Strong verbal and written communication skills.
Cryptographic experience.
Radio communications experience.
Please be aware that many of our positions require a security clearance, or the ability to obtain one. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.
By submitting your résumé for this position, you understand and agree that Harris Corporation may share your résumé, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.
Harris is an Equal Opportunity/Affirmative Action Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state or local law.
Candidates will support Environment, Health and Safety by fulfilling the Harris EHS Policy, complying with Harris EHS programs and applicable regulations, and striving for continual EHS improvement.
May 31, 2019
Full-time
Embedded software design engineer will be a member of a cross functional team with hands on responsibility for all phases of the software development process from requirements definition through integration and testing of completed product. Responsibilities will include system/software analysis, architecture definition, high-level design, detailed design, implementation, testing, documentation, and government certification of embedded software for radio or other communications products. Requires the application of the principles and techniques of computer science, engineering, and mathematical analysis.
Responsibilities:
Research, design, develop, modify and evaluate embedded computer software for electronic equipment or other communications systems in conjunction with hardware product development.
Determine design approaches and parameters. Analyze software requirements to determine feasibility of design within time and cost constraints. Analyze equipment to establish operating data, conduct experimental tests and evaluate results.
Perform detailed analysis including: requirements analysis, use case scenarios, conceptual design, trade studies, test, operation, maintenance, and reliability analysis of radio communications products, internal subsystems, and external systems.
Perform the functional analysis, requirements allocation and technical interface definition to translate customer requirements into software development specifications for the radio and associated subsystems.
Develop block diagrams and interface design specifications.
Work with product design, test, manufacturing, logistics engineering teams, product and program management and other groups, and external customers as needed to define and execute radio product development projects and deliver high-quality radio products.
Prepare design and implementation reviews and oversee the configuration management and control of requirements and design documentation, and development software. Present technical briefings and status reviews.
Ensure the conversion of customer requirements, including informal requirements, into total systems solutions that balance the technical, schedule and cost constraints of the program.
Consult with electrical engineers and other engineering staff to evaluate interface between hardware and software and operational performance requirements of the overall system.
Develop software system testing procedures and design documentation
Qualifications:
Bachelor of Science in Electrical Engineering, Computer Science, Software Engineering, or Computer Engineering.
Minimum of 4 years of experience (2 years with an MS degree) developing real-time embedded software in C or C++.
4+ years’ experience developing and testing software developed in C or C++.
2+ years’ experience with OOA/OOD software development methodology.
4+ years’ experience in full development lifecycle for software projects.
2+ years of experience producing software development documents, such as design documents and test plans.
Active Secret U.S. DOD Security Clearance (or inactive for less than 2 years).
This position requires the candidate to already possess an active DOD Secret clearance (or a DOD Secret clearance inactive less than 2 years which can be immediately reactivated), and to maintain the clearance.
US citizenship is required.
Preferred Additional Skills:
Experience developing software on an embedded microprocessor using an RTOS in C or C++.
Experience designing and developing device drivers.
Experience contributing to the development of software architecture.
Experience with UML and OOA/OOD software development methodology.
Experience with TCP/IP network protocols, routing, and writing network communications software in C or C++.
Experience in full development lifecycle for software projects.
Experience/knowledge of Capability Maturity Model (CMM)/Capability Maturity Model Integration (CMMI) systems and software development processes or other defined SW development process.
Familiarity with software analysis, design, development, testing (including software unit testing), and automation tools.
Highly motivated, a self-starter, and able to operate with little supervision in diverse environments.
A successful track record in planning, executing, and tracking personal task assignments.
Experience leading small product development teams and mentoring other engineers.
Demonstrated ability to analyze and debug software and related hardware issues.
Strong verbal and written communication skills.
Cryptographic experience.
Radio communications experience.
Please be aware that many of our positions require a security clearance, or the ability to obtain one. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.
By submitting your résumé for this position, you understand and agree that Harris Corporation may share your résumé, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.
Harris is an Equal Opportunity/Affirmative Action Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state or local law.
Candidates will support Environment, Health and Safety by fulfilling the Harris EHS Policy, complying with Harris EHS programs and applicable regulations, and striving for continual EHS improvement.
As Engineering Lead within our Merchant Operations department you will lead teams who build resilient systems to handle million requests per day without downtime. Your actions have a high impact in making Zalando become the best high quality Marketplace in the Fashion Industry. Ensuring article data quality, handling high-volume transactional and sensitive data, working on public facing interfaces for both developers and merchants and building applications from scratch, your teams optimise the overall merchant experience at an incredible, international scale.
WHERE YOUR EXPERTISE IS NEEDED
Develop and execute mid- & long-term technical vision and architectural direction to:
Create highly scalable solutions
Facilitate collaboration, communication and decision-making between the engineering team, product specialists and stakeholders. You partner with product owners, engineering and architecture teams to influence product strategy and drive the product development roadmap
Attract, onboard, develop and retain diverse top talents to your team and transform the landscape of Zalando’s Merchant platform
WHAT WE'RE LOOKING FOR
A solid background in software engineering with a strong understanding of core priorities, KPI’s and underlying system architecture
Significant experience leading and developing cross-functional engineering teams within an international, agile environment. You have effective communication skills in English, with an ability to understand and translate business and user requirements across teams
Extensive experience in object-oriented and functional programming languages with a profound knowledge of REST APIs and highly distributed, scalable and resilient micro services landscapes
You think creatively, are solution oriented, adaptable to change, and have a drive for continuous innovation
Responsible for maintaining trustful relationship with your teams, leading them and setting a high standard as an example
Keeping business in mind, you are capable of making your teams accountable and responsible for decisions made by providing strong sense of ownership.
At Zalando Merchant Operations we use a variety of languages, but most of our backend systems are written in Scala . We do have services written in Java, Go, NodeJS, Haskell and many more .
PERKS AT WORK
Culture of trust, empowerment and constructive feedback, open source commitment, meetups, game nights, 70+ internal and fun guilds, knowledge sharing through talks, internal tech academy and blogs, product demos, parties and events
Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings
Extensive on boarding, mentoring and personal development opportunities and an International team of experts
Relocation assistance for internationals, family service and parent & child rooms
We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.
ABOUT ZALANDO
Zalando is Europe’s leading online platform for fashion, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 23 million active customers through diverse skill-sets, interests and languages our teams choose to use.
Please note that all applications must be completed using the online form - we do not accept applications via e-mail.
Apr 01, 2019
Full-time
As Engineering Lead within our Merchant Operations department you will lead teams who build resilient systems to handle million requests per day without downtime. Your actions have a high impact in making Zalando become the best high quality Marketplace in the Fashion Industry. Ensuring article data quality, handling high-volume transactional and sensitive data, working on public facing interfaces for both developers and merchants and building applications from scratch, your teams optimise the overall merchant experience at an incredible, international scale.
WHERE YOUR EXPERTISE IS NEEDED
Develop and execute mid- & long-term technical vision and architectural direction to:
Create highly scalable solutions
Facilitate collaboration, communication and decision-making between the engineering team, product specialists and stakeholders. You partner with product owners, engineering and architecture teams to influence product strategy and drive the product development roadmap
Attract, onboard, develop and retain diverse top talents to your team and transform the landscape of Zalando’s Merchant platform
WHAT WE'RE LOOKING FOR
A solid background in software engineering with a strong understanding of core priorities, KPI’s and underlying system architecture
Significant experience leading and developing cross-functional engineering teams within an international, agile environment. You have effective communication skills in English, with an ability to understand and translate business and user requirements across teams
Extensive experience in object-oriented and functional programming languages with a profound knowledge of REST APIs and highly distributed, scalable and resilient micro services landscapes
You think creatively, are solution oriented, adaptable to change, and have a drive for continuous innovation
Responsible for maintaining trustful relationship with your teams, leading them and setting a high standard as an example
Keeping business in mind, you are capable of making your teams accountable and responsible for decisions made by providing strong sense of ownership.
At Zalando Merchant Operations we use a variety of languages, but most of our backend systems are written in Scala . We do have services written in Java, Go, NodeJS, Haskell and many more .
PERKS AT WORK
Culture of trust, empowerment and constructive feedback, open source commitment, meetups, game nights, 70+ internal and fun guilds, knowledge sharing through talks, internal tech academy and blogs, product demos, parties and events
Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings
Extensive on boarding, mentoring and personal development opportunities and an International team of experts
Relocation assistance for internationals, family service and parent & child rooms
We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.
ABOUT ZALANDO
Zalando is Europe’s leading online platform for fashion, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 23 million active customers through diverse skill-sets, interests and languages our teams choose to use.
Please note that all applications must be completed using the online form - we do not accept applications via e-mail.
Do you want to build resilient systems to handle million requests per day without downtime? Are you ready to make an impact by helping Zalando become the best high quality Marketplace in the Fashion Industry?
As Software Engineer within our Merchant Operations department you will be building the merchants platform - ensuring article data quality, handling Identity and Access Management and security topics, high-volume transactional and sensitive data, working on public facing interfaces for both developers and merchants and building applications from scratch.
WHERE YOUR EXPERTISE IS NEEDED
Create highly scalable solutions and own the entire development cycle - from architecture design to testing to implementation and maintenance
Own your code and decide on the technologies and tools to deliver as well operate large-scale applications on cloud (AWS or Kubernetes), based on a micro services architecture
Take a leading role in extending and improving integration, evolving our systems to scale as per our merchants demands.
WHAT WE'RE LOOKING FOR
Knowledge and passion on Identity Access Management and Security topics
Experience on JAVA and JBOSS
Pragmatic and curious, find right tool for the right job (we solve business problems, with lots of more easy algorithms)
Experience in software development, involving designing and developing large-scale, distributed software applications, tools, systems and services
Knowledge of micro services and cloud architectures as well as experience with cloud platforms, preferably Kubernetes
Knowledge in architecture / design methods and patterns, data and API specifications, quality assurance and testing methods
Passion to learn new and different languages like Golang, NodeJS, Scala, etc.
At Zalando Merchant Operations we use a variety of languages, but most of our backend systems are written in Scala . But don’t worry if you never tried Scala, as long as you are motivated to learn. Also, as a way to start, we do have services written in Java, Go, NodeJS, Haskell and many more . You’ll certainly enjoy working with us even more if you are motivated to learn.
PERKS AT WORK
Culture of trust, empowerment and constructive feedback, open source commitment, meetups, game nights, 70+ internal and fun guilds, knowledge sharing through talks, internal tech academy and blogs, product demos, parties and events
Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings
Extensive onboarding, mentoring and personal development opportunities and an International team of experts
Relocation assistance for internationals, family service and parent & child rooms
We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.
ABOUT ZALANDO
Zalando is Europe’s leading online platform for fashion, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 23 million active customers through diverse skill-sets, interests and languages our teams choose to use.
Apr 01, 2019
Full-time
Do you want to build resilient systems to handle million requests per day without downtime? Are you ready to make an impact by helping Zalando become the best high quality Marketplace in the Fashion Industry?
As Software Engineer within our Merchant Operations department you will be building the merchants platform - ensuring article data quality, handling Identity and Access Management and security topics, high-volume transactional and sensitive data, working on public facing interfaces for both developers and merchants and building applications from scratch.
WHERE YOUR EXPERTISE IS NEEDED
Create highly scalable solutions and own the entire development cycle - from architecture design to testing to implementation and maintenance
Own your code and decide on the technologies and tools to deliver as well operate large-scale applications on cloud (AWS or Kubernetes), based on a micro services architecture
Take a leading role in extending and improving integration, evolving our systems to scale as per our merchants demands.
WHAT WE'RE LOOKING FOR
Knowledge and passion on Identity Access Management and Security topics
Experience on JAVA and JBOSS
Pragmatic and curious, find right tool for the right job (we solve business problems, with lots of more easy algorithms)
Experience in software development, involving designing and developing large-scale, distributed software applications, tools, systems and services
Knowledge of micro services and cloud architectures as well as experience with cloud platforms, preferably Kubernetes
Knowledge in architecture / design methods and patterns, data and API specifications, quality assurance and testing methods
Passion to learn new and different languages like Golang, NodeJS, Scala, etc.
At Zalando Merchant Operations we use a variety of languages, but most of our backend systems are written in Scala . But don’t worry if you never tried Scala, as long as you are motivated to learn. Also, as a way to start, we do have services written in Java, Go, NodeJS, Haskell and many more . You’ll certainly enjoy working with us even more if you are motivated to learn.
PERKS AT WORK
Culture of trust, empowerment and constructive feedback, open source commitment, meetups, game nights, 70+ internal and fun guilds, knowledge sharing through talks, internal tech academy and blogs, product demos, parties and events
Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings
Extensive onboarding, mentoring and personal development opportunities and an International team of experts
Relocation assistance for internationals, family service and parent & child rooms
We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.
ABOUT ZALANDO
Zalando is Europe’s leading online platform for fashion, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 23 million active customers through diverse skill-sets, interests and languages our teams choose to use.
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics.
We need an experienced Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels.
You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences.
Responsibilities:
Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies operating in real-time with high-availability.
Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.
Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies.
Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.
Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers.
ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs.
Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams.
Basic Qualifications:
Not your first rodeo – Have 6+ years of experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis.
Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services.
Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases).
Cloud First - Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud.
Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning.
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly.
Passion and creativity – Are passionate about data, technology, & creative innovation
Preferred Qualifications:
Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment.
Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well.
Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics
Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes.
Experience in working with Data Scientists to operationalize machine learning models.
Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share.
Required Education:
Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience
Preferred Education:
Masters in Computer Science or similar is preferred
Jun 02, 2019
Full-time
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics.
We need an experienced Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels.
You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences.
Responsibilities:
Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies operating in real-time with high-availability.
Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.
Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies.
Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.
Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers.
ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs.
Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams.
Basic Qualifications:
Not your first rodeo – Have 6+ years of experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis.
Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services.
Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases).
Cloud First - Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud.
Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning.
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly.
Passion and creativity – Are passionate about data, technology, & creative innovation
Preferred Qualifications:
Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment.
Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well.
Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics
Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes.
Experience in working with Data Scientists to operationalize machine learning models.
Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share.
Required Education:
Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience
Preferred Education:
Masters in Computer Science or similar is preferred
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics.
We need an experienced Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels.
You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences.
Responsibilities:
Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies operating in real-time with high-availability.
Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.
Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies.
Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.
Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers.
ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs.
Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams.
Basic Qualifications:
Not your first rodeo – Have 6+ years of experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis.
Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services.
Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases).
Cloud First – Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud.
Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning.
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly.
Passion and creativity – Are passionate about data, technology, & creative innovation
Preferred Qualifications:
Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment.
Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well.
Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics
Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes.
Experience in working with Data Scientists to operationalize machine learning models.
Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share.
Required Education:
Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience
Preferred Education:
Masters in Computer Science or similar is preferred
Jun 02, 2019
Full-time
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics.
We need an experienced Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels.
You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences.
Responsibilities:
Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies operating in real-time with high-availability.
Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.
Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies.
Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.
Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers.
ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs.
Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams.
Basic Qualifications:
Not your first rodeo – Have 6+ years of experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis.
Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services.
Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases).
Cloud First – Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud.
Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning.
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly.
Passion and creativity – Are passionate about data, technology, & creative innovation
Preferred Qualifications:
Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment.
Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well.
Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics
Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes.
Experience in working with Data Scientists to operationalize machine learning models.
Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share.
Required Education:
Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience
Preferred Education:
Masters in Computer Science or similar is preferred
The JetBlue Travel Products Data Analyst reports directly to the GM of Data Engineering and is responsible for interpreting data and analyzing results using advanced techniques, running live experiments and presenting findings to stakeholders. The Data Analyst will be working with public and private datasets of different data types. They will also filter and clean the data, identify and analyze trends along with working with data engineers and scientists to ensure identified trends are implemented to enable JetBlue Travel Products to become a digital disruptor.
The Data Analyst can change priorities and focus to meet business demands, excels when working on complex projects, is motivated to deliver results, and exhibits the JetBlue values of Safety, Caring, Integrity, Fun, and Passion.
Essential Responsibilities
Build and prototype analysis pipelines in order to provide insights at scale.
Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
Develop comprehensive understanding of data structures and metrics, advocating for changes that will improve product adoption and customer conversion.
Run live experiments that drive key product decisions.
Work with data engineers to embed the research into production pipelines.
Partner with product management and marketing teams to identify opportunities, envision and design technology products.
Assist with creating the data infrastructure and analytics environments.
Participate in the DevOps practice as it pertains to data team.
Partner with JetBlue Tech Ventures to identify, monitor, learn, experiment and share information about emerging technology that is relevant to JetBlue Travel Products.
Other duties as assigned.
Minimum Experience and Qualifications
Bachelor’s Degree in Computer Science or related technical field or equivalent practical experience with demonstrated capability to perform job responsibilities through four (4) previous years of experience and education.
One (1) years’ experience in an Analyst role.
Good understanding of software engineering environments and standards.
Experience managing Service Level Agreements (SLA’s) Interacting daily with people at different levels within the organization, including developing and maintaining ongoing relationships.
Pass a ten (10) year background check and pre-employment drug test.
Legally eligible to work in the country in which the position is located.
Proficient in Python with numpy, pandas.
Proficient with Jupyter notebooks, Datalab notebooks.
Proficient in linear algebra and statistics.
Familiar with DataStudio, Looker, Tableau.
Familiar with basic SQL for structured and unstructured data.
Familiar with cloud technologies, SAAS, IAAS.
Familiar with ML concepts.
Preferred Experience and Qualifications
Maintaining a public profile and building relationships throughout the organization.
Three (3) years’ experience in technology roles.
Experience in writing software in one or more languages such as Java, Python, Go and/or JavaScript.
Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Amazon Web Services, Azure and Google Cloud Platform.
Crewmember Expectations:
Regular attendance and punctuality.
Potential need to work flexible hours and be available to respond on short-notice.
Well-groomed and able to maintain a professional appearance.
When working or traveling on JetBlue flights, and if time permits, all capable crewmembers are asked to assist with light cleaning of the aircraft.
Organizational fit for the JetBlue culture, that is, exhibit the JetBlue values of Safety, Caring, Integrity, Passion, and Fun.
Equipment:
Computer and other office equipment.
Physical Effort:
Generally not required, or up to 10 pounds occasionally, 0 pounds frequently. (Sedentary)
Disclaimer: The above statements are intended to describe the general nature and level of work being performed by the crewmember(s) assigned to this position. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of individuals in this position. Position Expectations may be subject to change as the needs of the organization change.
JetBlue Airways Corp. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, marital status, veteran status, sexual orientation, gender identity or expression, disability status, pregnancy, genetic information, citizenship status or any other characteristic protected by law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
May 04, 2019
Full-time
The JetBlue Travel Products Data Analyst reports directly to the GM of Data Engineering and is responsible for interpreting data and analyzing results using advanced techniques, running live experiments and presenting findings to stakeholders. The Data Analyst will be working with public and private datasets of different data types. They will also filter and clean the data, identify and analyze trends along with working with data engineers and scientists to ensure identified trends are implemented to enable JetBlue Travel Products to become a digital disruptor.
The Data Analyst can change priorities and focus to meet business demands, excels when working on complex projects, is motivated to deliver results, and exhibits the JetBlue values of Safety, Caring, Integrity, Fun, and Passion.
Essential Responsibilities
Build and prototype analysis pipelines in order to provide insights at scale.
Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
Develop comprehensive understanding of data structures and metrics, advocating for changes that will improve product adoption and customer conversion.
Run live experiments that drive key product decisions.
Work with data engineers to embed the research into production pipelines.
Partner with product management and marketing teams to identify opportunities, envision and design technology products.
Assist with creating the data infrastructure and analytics environments.
Participate in the DevOps practice as it pertains to data team.
Partner with JetBlue Tech Ventures to identify, monitor, learn, experiment and share information about emerging technology that is relevant to JetBlue Travel Products.
Other duties as assigned.
Minimum Experience and Qualifications
Bachelor’s Degree in Computer Science or related technical field or equivalent practical experience with demonstrated capability to perform job responsibilities through four (4) previous years of experience and education.
One (1) years’ experience in an Analyst role.
Good understanding of software engineering environments and standards.
Experience managing Service Level Agreements (SLA’s) Interacting daily with people at different levels within the organization, including developing and maintaining ongoing relationships.
Pass a ten (10) year background check and pre-employment drug test.
Legally eligible to work in the country in which the position is located.
Proficient in Python with numpy, pandas.
Proficient with Jupyter notebooks, Datalab notebooks.
Proficient in linear algebra and statistics.
Familiar with DataStudio, Looker, Tableau.
Familiar with basic SQL for structured and unstructured data.
Familiar with cloud technologies, SAAS, IAAS.
Familiar with ML concepts.
Preferred Experience and Qualifications
Maintaining a public profile and building relationships throughout the organization.
Three (3) years’ experience in technology roles.
Experience in writing software in one or more languages such as Java, Python, Go and/or JavaScript.
Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Amazon Web Services, Azure and Google Cloud Platform.
Crewmember Expectations:
Regular attendance and punctuality.
Potential need to work flexible hours and be available to respond on short-notice.
Well-groomed and able to maintain a professional appearance.
When working or traveling on JetBlue flights, and if time permits, all capable crewmembers are asked to assist with light cleaning of the aircraft.
Organizational fit for the JetBlue culture, that is, exhibit the JetBlue values of Safety, Caring, Integrity, Passion, and Fun.
Equipment:
Computer and other office equipment.
Physical Effort:
Generally not required, or up to 10 pounds occasionally, 0 pounds frequently. (Sedentary)
Disclaimer: The above statements are intended to describe the general nature and level of work being performed by the crewmember(s) assigned to this position. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of individuals in this position. Position Expectations may be subject to change as the needs of the organization change.
JetBlue Airways Corp. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, marital status, veteran status, sexual orientation, gender identity or expression, disability status, pregnancy, genetic information, citizenship status or any other characteristic protected by law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Fidelity Personal Investing – Client Solutions Technology Chapter Area is looking for a passionate Full Software Engineer-Analyst to build and support world-class products for its highly business critical Planning & Advice Platform Tribe. Our engineering team is innovative, diverse, passionate and self-driven. We work in a very dynamic agile environment.
The Team
Our ever-evolving technology stack ensures a great learning culture in the team. We are always exploring new technologies and new ways to continually provide value to our customers. This team has a direct and positive impact on Fidelity’s customers. As an engineer-analyst on the team, your primary role will be building, testing and engineering REST API’s on our Planning & Advice Platform. You are expected to quickly gain an understanding of all the components of our platform to be able to contribute to initiatives related to the enhancement, maintenance, and support of the platform. The team embraces agile in letter and spirit. So you will be expected to wear multiple hats of analysis and story grooming, development and testing.
The Expertise You Have
Bachelor's degree in Computer Science or Engineering
2-4 years of development experience in Java, Spring MVC / Spring Core / Web Services (SOAP/REST) and configuring web containers.
Design patterns, UML.
Test Driven Development, Junit, Jasmine, Karma, Protractor.
IDE’s Spring Tool Suite, and Eclipse, within a UNIX and Windows environment.
Application build, deploy using Continuous Integration/ Deployment (CI/CD) tools -- Jenkins, Maven, uDeploy, etc.
The Skills You Bring
You are able to write SQL queries and debug stored procedures within an Oracle environment.
You have an understanding of Docker, cloud-computing / cloud services platforms (e.g. AWS or azure).
You display leadership, are a team player, collaborative, innovative, and eager to learn every day.
You are a self-starter, and will actively challenge status-quo, are curious and not afraid to ask “Why” and “What if”?
The Value You Deliver
Understanding the leadership vision and executing on that vision.
Helping further strengthen the culture of innovation by setting examples.
Finding creative ways to get things done, and executing with high quality.
Fostering a culture of best in class software engineering practices.
Exercising a passion for keeping your knowledge up-to-date and displaying a growth mindset.
Helping maintain the high level of integrity in the team.
Taking ownership and accountability for figuring out what needs to be done.
Company Overview
At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associate for their unique perspectives and experiences.
Fidelity Investments is an equal opportunity employer.
May 04, 2019
Full-time
Fidelity Personal Investing – Client Solutions Technology Chapter Area is looking for a passionate Full Software Engineer-Analyst to build and support world-class products for its highly business critical Planning & Advice Platform Tribe. Our engineering team is innovative, diverse, passionate and self-driven. We work in a very dynamic agile environment.
The Team
Our ever-evolving technology stack ensures a great learning culture in the team. We are always exploring new technologies and new ways to continually provide value to our customers. This team has a direct and positive impact on Fidelity’s customers. As an engineer-analyst on the team, your primary role will be building, testing and engineering REST API’s on our Planning & Advice Platform. You are expected to quickly gain an understanding of all the components of our platform to be able to contribute to initiatives related to the enhancement, maintenance, and support of the platform. The team embraces agile in letter and spirit. So you will be expected to wear multiple hats of analysis and story grooming, development and testing.
The Expertise You Have
Bachelor's degree in Computer Science or Engineering
2-4 years of development experience in Java, Spring MVC / Spring Core / Web Services (SOAP/REST) and configuring web containers.
Design patterns, UML.
Test Driven Development, Junit, Jasmine, Karma, Protractor.
IDE’s Spring Tool Suite, and Eclipse, within a UNIX and Windows environment.
Application build, deploy using Continuous Integration/ Deployment (CI/CD) tools -- Jenkins, Maven, uDeploy, etc.
The Skills You Bring
You are able to write SQL queries and debug stored procedures within an Oracle environment.
You have an understanding of Docker, cloud-computing / cloud services platforms (e.g. AWS or azure).
You display leadership, are a team player, collaborative, innovative, and eager to learn every day.
You are a self-starter, and will actively challenge status-quo, are curious and not afraid to ask “Why” and “What if”?
The Value You Deliver
Understanding the leadership vision and executing on that vision.
Helping further strengthen the culture of innovation by setting examples.
Finding creative ways to get things done, and executing with high quality.
Fostering a culture of best in class software engineering practices.
Exercising a passion for keeping your knowledge up-to-date and displaying a growth mindset.
Helping maintain the high level of integrity in the team.
Taking ownership and accountability for figuring out what needs to be done.
Company Overview
At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associate for their unique perspectives and experiences.
Fidelity Investments is an equal opportunity employer.
Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of.
Primary Job Responsibilities:
Do you want to make an impact on the world’s largest e-commerce website? Are you interested in building performance efficient, high-volume and highly scalable distributed systems? We have a place for you!
We are looking for a full stack software engineer to work in Risk product development team, who is responsible for managing seller and buyer risk in eBay market place. As a self-motivated and enthusiastic member of our team, you will work with extremely talented peers in a fun environment building world class risk products. You will work in an agile environment with a focus on problem solving and engineering excellence.
Build solutions using your strong background in distributed systems, and large scale database systems.
Research, analyze, design, develop and test the solutions that are appropriate for the business and technology strategies.
Participate in design discussions, code reviews and project related team meetings.
Work with other engineers, Architecture, Product Management, QA, and Operations teams to develop innovative solutions that meet business needs with respect to functionality, performance, scalability, reliability, realistic implementation schedules and adherence to development principles and product goals.
Develop technical & domain expertise and apply to solving product challenges.
Job Requirements:
4+ years of software design and development experience, solid foundation in computer science with strong competencies in data structures, algorithms, and software design.
Excellent knowledge in practicing OOAD, architectural and design patterns, open source platforms, frameworks, technologies and software engineering methodologies.
Hands-on experience in Java/J2EE, XML, Web technologies, Web Services, Design Patterns, and OOA/D.
Experience in Node.JS, CubeJs, Oracle/ Mongodb (or other NOSQL db’s), REST, Event Source, Web Sockets, HTML5, CSS3, RWD, JQuery is highly desirable.
Experience with big data solutions such as Hadoop, MapReduce, Hive, Pig, Kafka, Storm etc. is a major plus.
Experience in using source control systems such as Git or Clearcase, issue tracking systems like JIRA.
Strong expertise in agile development.
Risk domain expertise is a major plus.
Demonstrated ability to understand the business and ability to contribute to technology direction that contributes to measurable business improvements.
Ability to adapt to changing business priorities and to thrive under pressure.
Excellent decision-making, communication and collaboration, skills.
Education:
Master’s Degree or Equivalent
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
May 03, 2019
Full-time
Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of.
Primary Job Responsibilities:
Do you want to make an impact on the world’s largest e-commerce website? Are you interested in building performance efficient, high-volume and highly scalable distributed systems? We have a place for you!
We are looking for a full stack software engineer to work in Risk product development team, who is responsible for managing seller and buyer risk in eBay market place. As a self-motivated and enthusiastic member of our team, you will work with extremely talented peers in a fun environment building world class risk products. You will work in an agile environment with a focus on problem solving and engineering excellence.
Build solutions using your strong background in distributed systems, and large scale database systems.
Research, analyze, design, develop and test the solutions that are appropriate for the business and technology strategies.
Participate in design discussions, code reviews and project related team meetings.
Work with other engineers, Architecture, Product Management, QA, and Operations teams to develop innovative solutions that meet business needs with respect to functionality, performance, scalability, reliability, realistic implementation schedules and adherence to development principles and product goals.
Develop technical & domain expertise and apply to solving product challenges.
Job Requirements:
4+ years of software design and development experience, solid foundation in computer science with strong competencies in data structures, algorithms, and software design.
Excellent knowledge in practicing OOAD, architectural and design patterns, open source platforms, frameworks, technologies and software engineering methodologies.
Hands-on experience in Java/J2EE, XML, Web technologies, Web Services, Design Patterns, and OOA/D.
Experience in Node.JS, CubeJs, Oracle/ Mongodb (or other NOSQL db’s), REST, Event Source, Web Sockets, HTML5, CSS3, RWD, JQuery is highly desirable.
Experience with big data solutions such as Hadoop, MapReduce, Hive, Pig, Kafka, Storm etc. is a major plus.
Experience in using source control systems such as Git or Clearcase, issue tracking systems like JIRA.
Strong expertise in agile development.
Risk domain expertise is a major plus.
Demonstrated ability to understand the business and ability to contribute to technology direction that contributes to measurable business improvements.
Ability to adapt to changing business priorities and to thrive under pressure.
Excellent decision-making, communication and collaboration, skills.
Education:
Master’s Degree or Equivalent
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
Adobe believes in hiring the very best. We are known for our vibrant, dynamic and rewarding workplace where personal and professional fulfillment and company success go hand in hand. We take pride in creating exceptional work experiences, encouraging innovation and being involved with our employees, customers and communities. We invite you to discover what makes Adobe such a great place to work.
Magento is looking for an exceptional Senior Software Engineer to join our team and help construct the core of the Magento Order Management product, as well as participate in the architecture and development of new, greenfield initiatives. We process and manage a substantial volume and variety of eCommerce and Logistics data. We invite you to be involved in building complex, fully featured Order Management capabilities, developing a distributed microservices system at scale, building tools and features to support cutting edge logistics, and designing projects for long-term reasonability and extensibility.
What You Must Have:
Passion, ambition, and optimism, offset with realism. We are an ambitious Engineering organization with big goals. We take big chances and know that optimism and perseverance are the keys to success; and we are tested on that daily. If this excites you, great. If uncertainty is uncomfortable, this might not be the right place for you.
Curiosity backed by execution. Technology is our mantra, and you should be prepared to geek out on the intricacies of ecommerce, Logistics, and Order Management. There’s a lot to learn and define, and you will naturally need to be obsessed with staying ahead of the curve. But it doesn’t stop there. You must leverage that learning and turn it into creating amazing experiences both inside and outside of Magento.
Motivation and determination. Exciting, and daunting challenges face us every day at Magento. We excel in the pursuit of challenging goals. Magento is looking for fighters, who go to bed and wake up each day with a fire in the belly.
What You Must Do To Be Successful In This Position:
Apply deep knowledge of the fundamentals of Software Engineering to write robust, maintainable, efficient code that powers the Magento Order Management product
Apply experience working with fault-tolerant, resilient, highly-available distributed systems
6+ years of experience building Web Applications and Software-as-a-Service Platforms
A demonstrated history of working and supporting DevOps culture, from build to deploy
Good foundation in software architecture design patterns and the ability to apply those principles to real-world software problems
Strong experience working with relational or NoSQL databases and an understanding of the trade-offs involved in interacting with SQL systems
A demonstrated history of working with different technologies and a capacity to grown and learn difficult things continually
Exceptional communication is a must
What Skills & Experience We’d Like You To Have:
Deep knowledge of PHP, Python, Java, GO – or solid OOP experience
A strong background building ecommerce or Logistics applications or equivalent
5+ years of experience working with relational, NoSQL, or in-memory data stores, ideally mySQL, Postgres, or Redis
We use containers quite a bit. If you have used Docker or Kubernetes experience, that's going help
The more you understand about cloud-native software engineering practices – AWS, Azure, GCP, or Digital Ocean - the better
Bachelor’s, Master’s or Doctorate in computer science or a related field, or relevant work experience
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.
May 02, 2019
Full-time
Adobe believes in hiring the very best. We are known for our vibrant, dynamic and rewarding workplace where personal and professional fulfillment and company success go hand in hand. We take pride in creating exceptional work experiences, encouraging innovation and being involved with our employees, customers and communities. We invite you to discover what makes Adobe such a great place to work.
Magento is looking for an exceptional Senior Software Engineer to join our team and help construct the core of the Magento Order Management product, as well as participate in the architecture and development of new, greenfield initiatives. We process and manage a substantial volume and variety of eCommerce and Logistics data. We invite you to be involved in building complex, fully featured Order Management capabilities, developing a distributed microservices system at scale, building tools and features to support cutting edge logistics, and designing projects for long-term reasonability and extensibility.
What You Must Have:
Passion, ambition, and optimism, offset with realism. We are an ambitious Engineering organization with big goals. We take big chances and know that optimism and perseverance are the keys to success; and we are tested on that daily. If this excites you, great. If uncertainty is uncomfortable, this might not be the right place for you.
Curiosity backed by execution. Technology is our mantra, and you should be prepared to geek out on the intricacies of ecommerce, Logistics, and Order Management. There’s a lot to learn and define, and you will naturally need to be obsessed with staying ahead of the curve. But it doesn’t stop there. You must leverage that learning and turn it into creating amazing experiences both inside and outside of Magento.
Motivation and determination. Exciting, and daunting challenges face us every day at Magento. We excel in the pursuit of challenging goals. Magento is looking for fighters, who go to bed and wake up each day with a fire in the belly.
What You Must Do To Be Successful In This Position:
Apply deep knowledge of the fundamentals of Software Engineering to write robust, maintainable, efficient code that powers the Magento Order Management product
Apply experience working with fault-tolerant, resilient, highly-available distributed systems
6+ years of experience building Web Applications and Software-as-a-Service Platforms
A demonstrated history of working and supporting DevOps culture, from build to deploy
Good foundation in software architecture design patterns and the ability to apply those principles to real-world software problems
Strong experience working with relational or NoSQL databases and an understanding of the trade-offs involved in interacting with SQL systems
A demonstrated history of working with different technologies and a capacity to grown and learn difficult things continually
Exceptional communication is a must
What Skills & Experience We’d Like You To Have:
Deep knowledge of PHP, Python, Java, GO – or solid OOP experience
A strong background building ecommerce or Logistics applications or equivalent
5+ years of experience working with relational, NoSQL, or in-memory data stores, ideally mySQL, Postgres, or Redis
We use containers quite a bit. If you have used Docker or Kubernetes experience, that's going help
The more you understand about cloud-native software engineering practices – AWS, Azure, GCP, or Digital Ocean - the better
Bachelor’s, Master’s or Doctorate in computer science or a related field, or relevant work experience
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.
Overview
Come join Intuit as a Principal Machine Learning Engineer!
Responsibilities
In this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. You can expect to...
Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.
Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.
Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
Qualifications
BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
Understand machine learning principles (training, validation, etc.)
Knowledge of data query and data processing tools (i.e. SQL)
Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
Mathematics fundamentals: linear algebra, calculus, probability
Preferred Additional Qualifications:
Interest in reading academic papers and trying to implement state-of-the-art experimental systems
Experience using deep learning architectures
Experience deploying highly scalable software supporting millions or more users
Experience with GPU acceleration (i.e. CUDA and cuDNN)
Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)
Experience with NLP and NLU
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
May 02, 2019
Full-time
Overview
Come join Intuit as a Principal Machine Learning Engineer!
Responsibilities
In this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. You can expect to...
Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.
Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.
Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
Qualifications
BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
Understand machine learning principles (training, validation, etc.)
Knowledge of data query and data processing tools (i.e. SQL)
Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
Mathematics fundamentals: linear algebra, calculus, probability
Preferred Additional Qualifications:
Interest in reading academic papers and trying to implement state-of-the-art experimental systems
Experience using deep learning architectures
Experience deploying highly scalable software supporting millions or more users
Experience with GPU acceleration (i.e. CUDA and cuDNN)
Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)
Experience with NLP and NLU
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
Slack is looking for experienced analysts to join our Analytics team and help drive the understanding, growth, and success of Slack. We have several roles open across different levels of seniority. You should have deep technical skills and be comfortable working in an evolving data infrastructure to help us make data-informed decisions. You will be scrappy, independent, and excited about having a big impact in a growing team.
You will partner closely with Sales, Marketing, and Product to provide visibility into our data, craft narratives, find insights, and provide recommendations. Analytics works closely with a group of cross-functional teams, such as Data Engineering & IT, to transform massive amounts of data into data products and insights that allow the rest of the company to make better decisions, faster.
Responsibilities:
Use data to inform and influence the direction of team roadmaps and inform business decisions
Work with partner teams to define goals and identify metrics for improving existing features and new releases
Deepen our understanding of patterns/trends in user behavior, design experiments, and uncover new opportunities
Build dashboards and reports to drive awareness and understanding of metrics and experiment results
Work closely with Data Engineering and IT to author and develop core data sets that empower operational and exploratory analyses
Requirements:
3-8+ years of professional industry experience doing quantitative analysis
A proven track record of using analysis to impact key business or product decisions
The ability to clearly and effectively communicate the results of complex analyses
Experience writing production datasets in SQL/Hive OR building internal/production data tools for ETL, experimentation, or exploration in a scripting language (Python, R, etc.)
A solid grasp of basic statistical applications and methods (experimentation, probabilities, regression)
Experience in software engineering, data engineering, consulting, or academic research a plus
Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected.
Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have nine offices worldwide, in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto and Denver.
Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
Come do the best work of your life here at Slack.
May 01, 2019
Full-time
Slack is looking for experienced analysts to join our Analytics team and help drive the understanding, growth, and success of Slack. We have several roles open across different levels of seniority. You should have deep technical skills and be comfortable working in an evolving data infrastructure to help us make data-informed decisions. You will be scrappy, independent, and excited about having a big impact in a growing team.
You will partner closely with Sales, Marketing, and Product to provide visibility into our data, craft narratives, find insights, and provide recommendations. Analytics works closely with a group of cross-functional teams, such as Data Engineering & IT, to transform massive amounts of data into data products and insights that allow the rest of the company to make better decisions, faster.
Responsibilities:
Use data to inform and influence the direction of team roadmaps and inform business decisions
Work with partner teams to define goals and identify metrics for improving existing features and new releases
Deepen our understanding of patterns/trends in user behavior, design experiments, and uncover new opportunities
Build dashboards and reports to drive awareness and understanding of metrics and experiment results
Work closely with Data Engineering and IT to author and develop core data sets that empower operational and exploratory analyses
Requirements:
3-8+ years of professional industry experience doing quantitative analysis
A proven track record of using analysis to impact key business or product decisions
The ability to clearly and effectively communicate the results of complex analyses
Experience writing production datasets in SQL/Hive OR building internal/production data tools for ETL, experimentation, or exploration in a scripting language (Python, R, etc.)
A solid grasp of basic statistical applications and methods (experimentation, probabilities, regression)
Experience in software engineering, data engineering, consulting, or academic research a plus
Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected.
Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have nine offices worldwide, in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto and Denver.
Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
Come do the best work of your life here at Slack.
The Boeing Company is seeking a talented and highly motivated artificial intelligence professional with software deployment experience to assist in the design, development, and deployment of intelligent systems, autonomous systems, and other advanced AI systems.
A successful candidate will become part of the growing AI organization in Huntsville, Alabama, which is part of Boeing Research & Technology - the central R&D arm of Boeing.
The ideal candidate will have experience and interest in machine learning, computer vision, natural language processing, reasoning and inference, planning and scheduling, and knowledge representation.
A successful candidate will be able to work in the dynamic and distributed BR&T environment. An employee will typically work on multi-year projects that end with capability transitions including production environments. Project work can be funded by Independent Research and Development, Internal Application Development, Contracted Research and Development, or support to a Boeing Business Unit. An employee will work on a small project team where the knowledge and abilities of each person is important. The work is often simply described and the employee needs to be self-directed to organize and perform the work. Collaboration with others is crucial to successful project performance as is good communication with the project manager, principle investigator, and sponsor. An employee is typically hands-on, likes to figure things out, enjoys learning new things, and is good at applying what they have learned.
Responsibilities:
The engineer will have extensive experience in software programming and deployment.
Programming skills in languages such as Python, Java, C, C++, MATLAB, and R are necessary.
The ideal candidate will have knowledge and experience with different AI approaches and techniques.
Understand the cost and benefits of deploying algorithms in production environments. The types of algorithmic solutions should span across different types of data ranging from numeric, images, video, and textual (structured or unstructured) collected from domains such as autonomy, data analytics, design, platform performance and operations, robotics, safety, services, and C4ISR.
Will have the skills and experience to design, apply, and create new algorithms, methods, and tools for the analysis of data to address project requirements.
Evaluate the performance of data analysis algorithms as well as general ability to select and apply algorithms to meet application requirements with respect to scalability.
Identify internal and external customers/sponsors, seeking opportunities to solve their analytics problems.
Work with customers to help formulate technical requirements, select analytics methods, identify gaps in existing methods, and develop new methods as necessary.
Present results to the customers and lead transition of prototype tools to them as well.
Boeing is the world's largest aerospace company and leading manufacturer of commercial airplanes and defense, space and security systems. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us, and you can build something better for yourself, for our customers and for the world.
Division Engineering Test and Tech
Relocation Assistance Available No. Relocation assistance is not a negotiable benefit.
Qualifications
Basic Qualifications (Required):
This position must meet Export Control compliance requirements, therefore a “US Person” as defined by 22 C.F.R. § 120.15 is required. “US Person” includes US Citizen, lawful permanent resident, refugee, or asylee.
Experience with applying deep learning for object recognition, scene classification, and scene segmentation.
Experience with major deep learning framework such as Keras, Caffe, CNTK, Theano, Torch, and Tensorflow.
Experience with deploying deep learning models to production relevant environments.
Experience with high level programming languages such as C, C++, C#, Java, and Python.
Experience with designing, implementing, training, evaluating, and optimizing algorithms based on state-of-the-art machine learning techniques.
Assets (Preferred):
Experience with machine learning is highly desirable.
Experience with cloud computing.
Experience with GPUs.
Background in SLAM, 3D reconstruction, and motion planning, path planning.
Typical Education / Experience:
Degree and typical experience in engineering classification: Bachelor's and 5 or more years' experience, Master's degree with experience or PhD degree with experience. Bachelor, Master or Doctorate of Science degree from an accredited course of study, in engineering, computer science, mathematics, physics or chemistry. ABET is the preferred, although not required, accreditation standard.
Experience Level Individual Contributor
Job Type Standard
Travel Yes, 10 % of the Time
Contingent Upon Program Award No
Union No
Job Code 6J7BP2
May 01, 2019
Full-time
The Boeing Company is seeking a talented and highly motivated artificial intelligence professional with software deployment experience to assist in the design, development, and deployment of intelligent systems, autonomous systems, and other advanced AI systems.
A successful candidate will become part of the growing AI organization in Huntsville, Alabama, which is part of Boeing Research & Technology - the central R&D arm of Boeing.
The ideal candidate will have experience and interest in machine learning, computer vision, natural language processing, reasoning and inference, planning and scheduling, and knowledge representation.
A successful candidate will be able to work in the dynamic and distributed BR&T environment. An employee will typically work on multi-year projects that end with capability transitions including production environments. Project work can be funded by Independent Research and Development, Internal Application Development, Contracted Research and Development, or support to a Boeing Business Unit. An employee will work on a small project team where the knowledge and abilities of each person is important. The work is often simply described and the employee needs to be self-directed to organize and perform the work. Collaboration with others is crucial to successful project performance as is good communication with the project manager, principle investigator, and sponsor. An employee is typically hands-on, likes to figure things out, enjoys learning new things, and is good at applying what they have learned.
Responsibilities:
The engineer will have extensive experience in software programming and deployment.
Programming skills in languages such as Python, Java, C, C++, MATLAB, and R are necessary.
The ideal candidate will have knowledge and experience with different AI approaches and techniques.
Understand the cost and benefits of deploying algorithms in production environments. The types of algorithmic solutions should span across different types of data ranging from numeric, images, video, and textual (structured or unstructured) collected from domains such as autonomy, data analytics, design, platform performance and operations, robotics, safety, services, and C4ISR.
Will have the skills and experience to design, apply, and create new algorithms, methods, and tools for the analysis of data to address project requirements.
Evaluate the performance of data analysis algorithms as well as general ability to select and apply algorithms to meet application requirements with respect to scalability.
Identify internal and external customers/sponsors, seeking opportunities to solve their analytics problems.
Work with customers to help formulate technical requirements, select analytics methods, identify gaps in existing methods, and develop new methods as necessary.
Present results to the customers and lead transition of prototype tools to them as well.
Boeing is the world's largest aerospace company and leading manufacturer of commercial airplanes and defense, space and security systems. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us, and you can build something better for yourself, for our customers and for the world.
Division Engineering Test and Tech
Relocation Assistance Available No. Relocation assistance is not a negotiable benefit.
Qualifications
Basic Qualifications (Required):
This position must meet Export Control compliance requirements, therefore a “US Person” as defined by 22 C.F.R. § 120.15 is required. “US Person” includes US Citizen, lawful permanent resident, refugee, or asylee.
Experience with applying deep learning for object recognition, scene classification, and scene segmentation.
Experience with major deep learning framework such as Keras, Caffe, CNTK, Theano, Torch, and Tensorflow.
Experience with deploying deep learning models to production relevant environments.
Experience with high level programming languages such as C, C++, C#, Java, and Python.
Experience with designing, implementing, training, evaluating, and optimizing algorithms based on state-of-the-art machine learning techniques.
Assets (Preferred):
Experience with machine learning is highly desirable.
Experience with cloud computing.
Experience with GPUs.
Background in SLAM, 3D reconstruction, and motion planning, path planning.
Typical Education / Experience:
Degree and typical experience in engineering classification: Bachelor's and 5 or more years' experience, Master's degree with experience or PhD degree with experience. Bachelor, Master or Doctorate of Science degree from an accredited course of study, in engineering, computer science, mathematics, physics or chemistry. ABET is the preferred, although not required, accreditation standard.
Experience Level Individual Contributor
Job Type Standard
Travel Yes, 10 % of the Time
Contingent Upon Program Award No
Union No
Job Code 6J7BP2
