Machine Learning Engineer

Tempo Fit
San Francisco
Workplace: OnsiteFull timeUSD 100,000 - 200,000 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: bachelorsSkills: ["Communication","Problem-solving"]

Join a hands-on ML team focused on improving 3D exercise data processing pipelines and enhancing engines for workout recommendations, difficulty scaling, and personalization. You’ll work on real-world solutions with broad ML knowledge to directly impact customers, leveraging C++, Python, and CUDA in a fast-moving fitness tech environment.

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FursaFursa
Tempo Fit
Tempo Fit
7 years ago

Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Join a hands-on ML team focused on improving 3D exercise data processing pipelines and enhancing engines for workout recommendations, difficulty scaling, and personalization. You’ll work on real-world solutions with broad ML knowledge to directly impact customers, leveraging C++, Python, and CUDA in a fast-moving fitness tech environment.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Improve our pipeline for processing 3D data of human exercise
  • •Deepen engines for workout recommendations, difficulty scaling, and personalization
  • •Build and deploy real-world ML solutions that directly impact customers
  • •Collaborate with teammates to apply machine learning across the product
  • •Contribute to maintaining and enhancing software tooling and infrastructure

Pay and Benefits

Salary: USD 100,000 - 200,000 annually

Key Requirements

  • •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)
  • •2+ years experience with Python
Experience:3+ yearsMachine learningComputer visionFitness
Education:Bachelor's in Computer Science
Skills:CommunicationProblem-solving
Tech Stack:C++PythonCUDAMachine Learning

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Tempo Fit
Tempo builds a smart home gym combining hardware, 3D sensors, and AI-driven personal training to deliver real-time form feedback, guided workouts, and an on-demand fitness subscription experience for users training at home.
Industry: Fitness
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2018
WebsiteLinkedIn