Job Description


Job Overview

  • Job ID:

    J36993

  • Job Title:

    Machine Learning Engineer

  • Location:

    Somerville, MA

  • Duration:

    12 Months + Extension

  • Hourly Rate:

    Depending on Experience (DOE)

  • Work Authorization:

    US Citizen, Green Card, OPT-EAD, CPT, H-1B,
    H4-EAD, L2-EAD, GC-EAD

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2, 1099, C2C

Job Description:

In this position, you will help build out data infrastructure and implement new machine learning methods to enhance Tagup's core competencies of anomaly detection and survival modelling.

The tools you build will impact model development, deployment, model performance reporting, and data monitoring.

You will work closely with the founders and field engineering to deliver a cutting-edge solution to our industrial clients.

Responsibilities:

  • Design and implement new distributed machine learning methods
  • Implement data warehouses, real-time ETL, and batch processing data to support modeling needs
  • Work with engineers to define and manage data sources
  • Build and maintain internal data processing and visualization tools

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Equal Opportunity Employer

ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract