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Role description

Machine Learning Engineer

Tempo logoTempoYC W15
AI-native
TypeFull-time
SeniorityMid-level
SponsorshipNo visa sponsorship
Salary$100,000–$200,000
LocationSan Francisco, CA
Engineering

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

Relevant archetypes

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Company info

Tempo logo

Tempo

Tempo supports your journey with adaptable training plans and responsive workout guidance tuned to your body.

Tempo’s mission is to give everyone the power to realize their strength and lead a healthy, full life. Using 3D sensors and A.I., Tempo enables real-time feedback to expertly correct your form, provide personalized feedback that can track your movements, and use that data to give you a richer and more effective workout in live and on-demand classes.

Private companySeries CYC W15In the news
Founded2015
HQSan Francisco, United States
Size51-200 employees
Unlock human wisdom
ThesisTermsPrivacy
IndustryWellness and Fitness Services
Funding
  • Series C · $220M · Apr 13, 2021
Investors
SoftBank Vision Fund
News
  • Tempo® Evolves Brand Identity to Reflect Expanded Industry Reach

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