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Machine Learning Engineer

Tempo

San Francisco, CAFull-timeNo compensation foundTracked 4 days agoVerified open 4 days ago

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At a glance

Compensation
No compensation found
Location
San Francisco, CA
Schedule
Full-time
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

At SmartSpot, the Machine Learning Engineer will improve the 3D data processing pipeline for human exercise and enhance engines for workout recommendations, difficulty scaling, and personalization, applying broad machine learning knowledge to build real‑world solutions that directly impact customers.

Skills & qualifications

RequiredNice to have

Skills

C++PythonMachine LearningCUDA3D GeometryLinear AlgebraNumerical MethodsAlgorithms

Qualifications

B.a./B.S. In Computer Science or Related Technical Field3+ Years Programming Experience in C++2+ Years Work Experience in Machine Learning or Artificial Intelligence

Full job description

At SmartSpot, you'll be responsible for improving our pipeline for processing 3D data of human exercise and for deepening our engines for workout recommendations, difficulty scaling, and personalization. We're looking for a creative problem solver who has broad knowledge of a variety of fields within machine learning, and is interested in building real world solutions that impact our customers directly. Basic Qualifications

  • B.A./B.S. in Computer Science or related technical field or equivalent practical experience
  • 3+ years programming experience in C++
  • 2+ years of work experience in Machine Learning or Artificial Intelligence.
  • Strong mathematical background (3D geometry, linear algebra, numerical methods, algorithms)

Preferred Qualifications

  • 2+ years experience with Python
  • Familiarity with the state of the art in supervised learning research
  • Immediate availability

You've read the whole posting — now see how you match it.

Machine Learning Engineer at Tempo | Olive Jobs