6 jobs found

Purpose of role You will join an incredible and global remote team, and will be responsible for developing pioneering research towards decoding and translating non-human communication, including extending unsupervised translation techniques and tackling cornerstone biological and computational problems on large-scale multimodal behavioral datasets. You will work with biology and machine learning experts to create understanding from new scopes and scales of data. Responsibilities Senior AI Research Scientists are responsible for developing and applying techniques in machine learning, bioacoustics, and ethology, disseminating their work in both scientific publications, and collaborating on these efforts with other members of the AI team as well as with external biology partners. In addition to your scientific work, you will be responsible for communicating your results with the team at ESP, as well as with the general public through non-technical publications such as blog...

We are looking for self-motivated and passionate individuals to support our team as we evolve GCC and LLVM back-end and middle-end optimizations for ARMv8 and RISC-V; optimize the performance of next-generation RISC-V cores with novel ISA extensions; maintain assembler, linker, and debugger for the GNU toolchains; analyze, model, and improve application and library performance; and develop dataflow-based optimizations. Primary job responsibilities As Compiler and Performance Engineer, you will be working on projects spanning GCC, LLVM, and key performance libraries. You will contribute to such diverse technologies as: design and implementation of novel optimization passes develop dataflow analysis and data-layout optimization devise automated performance analysis tools using static and dynamic analysis analyze and optimize key workloads We are active contributors to the open-source communities that we are a part of and we expect you...

We are looking for a Machine Learning Engineer/Data Scientist with experience in deploying Machine Learning (ML), Deep Learning (DL) models. As part of the Solution Architecture organization, we work with the most exciting computing hardware and software, driving the latest breakthroughs in deep learning and machine learning with NVIDIA’s enterprise customers. This role offers an excellent opportunity to build your career in the rapidly growing field of deep learning while enabling the world's most successful technology companies. Primary responsibilities will be to lead software/application customer technical engagements around NVIDIA products and technologies. Join us in this exciting endeavor! What You’ll Be Doing Develop and demonstrate solutions based on NVIDIA’s ground breaking ML/DL, data science software and hardware technologies to customers. Perform in-depth analysis and optimization of state-of-the art ML models to ensure the best performance...

NVIDIA is hiring a DevOps Engineer to work on our HPC compiler team. We are building optimizing compilers that enable breakthrough science in an array of applications including weather forecasting, high-energy physics, computational fluid dynamics, materials science, life sciences, astrophysics, mechanical engineering and related fields. You will part of the team creating the infrastructure that builds, tests, packages, and delivers high quality software products.  What you'll be doing: Automating and optimizing infrastructure for the build, test, integration, and release of NVIDIA compilers Crafting efficiency and usability improvements that streamline release workflows Developing DevOps tools and CI/CD workflows Developing utilities for setting up systems, running tests, and recording and triaging results What we need to see: A BS or MS in a computer science, computer engineering, or related field or equivalent...

We’re working on making the global financial system programmable. This is one of the largest opportunities for impact in the history of computing, on par with the rise of modern operating systems. The Risk team plays a critical role in the company’s financial health, by enabling the realization of this opportunity while simultaneously controlling risk. What you’ll do Responsibilities Act as an embedded partner to the Risk team, identifying and solving complex and ambiguous questions with data and modeling Plan and execute with partner teams on modeling initiatives to increase accuracy, automation, and explainability Build statistical and machine learning models to measure all aspects of risk Create metrics and dashboards for key performance indicators and deep dive to understand the drivers of those indicators Effectively communicate the outcomes of your analysis to key stakeholders Who you are We’re looking for an...

The HR Data Architect should be an expert in data analysis, design, deployment, and management of ExxonMobil's data architecture for the HR function globally as well as be an advisor, leader, educator and mentor to other team members and data professionals. The HR Data Architect will be responsible for defining how HR's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different IT application systems and end users. They will define and align data architecture and principles to the overarching enterprise architecture. They will analyze current state data architecture, conceive desired future state data architecture, and identify steps needed to close the gaps between the states. Preferred Knowledge and Skills Strong understanding of database technologies, data governance/MDM/RDM/metadata management, large data structures technologies Strong understanding of conceptual and logical data modeling Basic...