# Machine Learning Engineer - Company: [Benchmark sports]() - Location: Irvine, CA - Team: Engineering - Employment type: Full Time - Posted: March 4, 2026 ## Job description ## 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) ## Apply [Apply on Benchmark sports]() Canonical job page: