Machine Learning Engineer

Benchmark Sports is redefining how golf is learned through real-time simulation and AI coaching. We're profitable, moving fast, and scaling globally. Joining now means owning core systems used by millions of athletes. Shipping product that changes how people train.

High ownership, touching all elements of the product full stack, owning business outcomes on a small lean team of highly technical people. We have a high talent bar and only hire people capable of working full stack and having a clear understanding of the product mission.

In office in Irvine. Work 6 days a week.

• Build Live
  
  Coaching:
  
  take live video, pose, and sensor data from raw capture to real-time athlete feedback
• Ship low-latency inference pipelines on smartphone and cloud
• Productionize models from prototype to containerized, versioned services
• Build training data pipelines and evaluation systems that make coaching measurably better
• Expand beyond golf: padel, tennis, cricket

• Up to date with latest agentic 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

Young, ambitious builders with a blank-slate mindset. Native builder or ex-founder. Someone who has shipped things end-to-end and owns the outcome. Strong preference for candidates from top technical environments (Stanford, Berkeley, Cal Poly, CMU), but we'll hire the best builder regardless of pedigree. If you need a roadmap to do your best work, this role will be a bad fit.

• 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 what the next highest-leverage model improvement is, and be building toward it
• Tailor a demo towards several sports beyond golf: padel, tennis, cricket, etc.