NLP/Machine Learning Engineer

Roberts Recruiting

  • Boston, Massachusetts
  • 30+ days ago

    Highlights

    The NLP/ML will design and implement elements of our technically advanced NLP pipeline under the guidance of product management on a team organized in agile scrum. Incorporates an expansive set of unit tests to provide reasonable test coverage and protection from regressions.

    Numbers & Facts

    LocationBoston, Massachusetts

    Description

    The NLP/ML will design and implement elements of our technically advanced NLP pipeline under the guidance of product management on a team organized in agile scrum. The position places a premium on creative strongly engineered solutions and teamwork.

    Responsibilities

    • Designs and implements creative software solutions for a broad range of problems.
    • Demonstrates deep knowledge of NLP prior art.
    • Experienced at tuning NLP models for best trade offs for the application.
    • Works with product management to make sure solutions addresses all requirements.
    • Does a full technical analysis to select a proper solution.
    • Collaborates with peers and architects to ensure correctness of solutions and compatibility with platform.
    • Incorporates an expansive set of unit tests to provide reasonable test coverage and protection from regressions.
    • Characterizes performance of solutions for adequate speed and scale.
    • Documents solutions clearly and works with QA organization to ensure proper testing.
    • Functions within an agile scrum team, embracing all tenets of scrum.

    Qualifications

    • Bachelor’s Degree in Computer Science, Engineering, Information Systems or Math.
    • Masters' Degree or Advanced Degree in Linguistics a huge plus. 
    • 2-6 years experience designing NLP software solutions.
    • Strong programming skills in a high level language, preferably Java.
    • Familiarity with diverse set of computing technologies: Linux, Python, Bash, SQL, JavaScript.
    • Experience with multiple NLP and ML toolsets.

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