Benchmark Motion

Machine Learning Engineer

Save

Benchmark Motion provided pay range

This range is provided by Benchmark Motion. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$150,000.00/yr - $250,000.00/yr

Direct message the job poster from Benchmark Motion

Why Benchmark Sports

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.


The Culture

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.


What You'll Work On

  • 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


Core Expectations

  • Strong ML fundamentals
  • 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


Who This is For

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.


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 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.


Benefits

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

  • Seniority level

    Entry level
  • Employment type

    Full-time
  • Job function

    Engineering and Information Technology
  • Industries

    Software Development

Referrals increase your chances of interviewing at Benchmark Motion by 2x

See who you know

Get notified about new Machine Learning Engineer jobs in Irvine, CA.

Sign in to create job alert

Similar jobs

People also viewed

Similar Searches

Explore top content on LinkedIn

Find curated posts and insights for relevant topics all in one place.

View top content