SECTION I · THE BRIEF
Brief #55330Updated 21 AUG 2026SAN FRANCISCO, CAYcY COMBINATOR
Employbl Company Profile

Machine Learning Engineer

Tempo designs and develops a home fitness platform with personal guidance to help users in their training sessions. It features live elite trainers who can help users when they make mistakes. It has built-in…

Location
San Francisco, CA
Company size
100–200
Posted
Today
Via
Yc
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Machine Learning Engineer · Tempo

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Job title
Machine Learning Engineer
Job location
San Francisco, CA
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
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Tempo headquarters

San Francisco, CA

Company size

100200 employees

Founded

2015

Total raised

$298,800,000

View company profile ↗

Funding rounds

  • Series C$220M
  • Series B$60M
  • Series A$17M
  • Seed$1.8M