Machine Learning Engineer
: Job Details :


Machine Learning Engineer

Robotics Technologies LLC

Location: San Francisco,CA, USA

Date: 2024-11-17T06:05:17Z

Job Description:

W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.

Candidates are encouraged to apply directly using this portal. We do not accept resumes from other company/third-party recruiters.

Job Overview

Job ID: J36993

Job Title: Machine Learning Engineer

Location:

Duration: 7 Months

Domain Exposure: Education, Oil & Gas, IT/Software

Work Authorization:

Client: To Be Discussed Later

Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)

Responsibilities
  • Design, implement, and evaluate machine learning models and features.
  • Implement new features and algorithms for their search and conversation engine.
  • Design and implement data collection pipelines.
  • Write high-quality code, with emphasis on maintainability, readability, and testing.
  • Review code and technical designs.
  • Willingness to learn and work on other parts of their platform stack.
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.

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