Machine Learning Engineer

  • Michigan Language Assessment
  • Ann Arbor, MI, USA
  • Feb 26, 2020
Full-time Big Data Computer Science Data Reporting Deep Learning Machine Learning Natural Language Processing (NLP) Python R Research TensorFlow

Job Description

Job Summary

Apply expertise in machine learning and natural language processing to develop cutting-edge language learning and assessment products and solutions.

Responsibilities*

  • Apply natural language processing/machine learning/deep learning methods to investigate and develop features and solutions for language learning and assessment products.
  • Collaborate with cross-functional teams on prototyping, evaluation, operationalization, and continuous improvement of language learning and assessment products and solutions.
  • Design, create, clean, annotate, and manage rich data sets for natural language processing/machine learning/deep learning analysis.
  • Document, present, publish, and educate on the results of research and development work to internal and external specialist and non-specialist audiences.
  • Monitor and assess new technologies and their potential for new products and services.
  • Other contributions commensurate with level and experience (e.g. service on committees, coordination with external consultants, etc.)

Required Qualifications*

  • MS in computer science or related field, or equivalent expertise in natural language processing/machine learning.
  • Proficiency in a programming language such as R or Python.
  • Proficiency in use of machine learning/deep learning tools such as TensorFlow, Keras.
  • Problem solving, flexibility, and ability to deal with ambiguity.
  • Ability to communicate well with and present to a variety of audiences, particularly of technical concepts to non-technical colleagues and stakeholders.
  • Ability to work independently and collaboratively on multiple projects.
  • Five years of experience in natural language processing/machine learning.

Desired Qualifications*

  • PhD in computer science or related field.
  • Experience in implementation of machine learning in commercial products.
  • Experience in working with data from (English) language learners.

Additional Information

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