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Machine Learning Engineer

Tempo· Engineering
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Hybrid (San Francisco, CA)$100k - $200kFull-timePosted 11mo ago

About the role

Role focused on improving 3D data processing pipeline for human exercise and developing engines for workout recommendations, scalability, and personalization at Tempo/SmartSpot.

Responsibilities

  • improving our pipeline for processing 3D data of human exercise
  • deepening our engines for workout recommendations, difficulty scaling, and personalization

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)

Skills

Required:C++Machine LearningCUDA
Nice to have:Python
Last updated Aug 26, 2026. Interested? Apply on the company site.
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About Tempo

Live home fitness training powered by computer vision.

SmartSpot is a post Series-A stealth startup backed by Founders Fund and Khosla Ventures that uses computer vision to deliver an unparalleled fitness training experience to your home. Our unique hardware solution gives amazing trainers the ability to see their class participants in real time and deliver detailed advice that was previously only possible in person.

machine-learningconsumer-health-services
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