Machine Learning Engineer

About the role

Benchmark Sports is redefining golf learning with real-time simulation and AI coaching. The company is profitable, growing rapidly, and expanding globally. Joining now means being part of core systems used by millions of athletes and shipping products that change how people train.

Core Expectations

• Strong ML fundamentals
• Up to date with latest agent-based coding workflows
• Full stack experience with good taste for UI/UX
• Worked on either cutting-edge implementations of LLMs or shipped LLM products used by real users

Who This is For

This role is for young, ambitious builders with a blank-slate mindset. Native builders or ex-founders are preferred. Strong preference for candidates from top technical environments like Stanford, Berkeley, Cal Poly, and CMU. If you need a roadmap to excel, this role might not be right for you.

What Success Looks Like: First 90 Days

• Ship Live Coaching: from raw capture to model inference to athlete-facing feedback to at least 100,000 athletes
• Measurably reduce coaching feedback latency or improve feedback consistency
• Have a clear thesis on the next highest-leverage model improvement and be building toward it
• Tailor a demo towards several sports beyond golf: padel, tennis, cricket, etc.

Benefits

• Full health + dental coverage
• 401(k)
• Daily team lunches
• Weekly team events (including golf)