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Machine Learning Engineer

Responsibilities:

  • Evaluate new technologies in light of our products and customer needs, and use your insights to deliver new capabilities
  • Support the collection and processing of a variety of data, structured and unstructured.
  • Implement quantitative models and data analysis strategies.
  • Design, implement, evaluate, and refine product prototypes.
  • Develop and deploy web-based services and applications.
  • Ideal candidates will be passionate about DevTools implementation and innovation, and tackling any and all aspects of software development that impede delivery and get in the way of developer happiness.

Qualifications

  • U. S. Citizenship Required
  • Must be able to obtain/maintain a security clearance
  • Bachelor's or Masters degree in a quantitative or computational field
  • Proven capacity to model and solve problems using quantitative approaches
  • 8+ years of experience in machine learning and statistical modeling
  • 8+ years of experience managing and working with structured and unstructured data
  • Ability to rapidly develop prototypes as well as write production quality code
  • Experience with static (Java, C, C++), dynamic (Ruby, Python), and mathematical and statistical (R, MATLAB, Julia) languages; 5+ years combined experience, with 2+ years in any particular language. Maybe you are interested in the GraalVM.
  • Experience managing and modeling data using relational (Postgres, MySQL), NoSQL (Redis, Neo4j, MongoDB) and search (Elasticsearch, Solr) technologies.
  • Familiarity with modern web frameworks, application architectures, languages, and libraries (Rails, Flask, MVC, JavaScript, yarn, Node, D3, Plotly)


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