As the first dedicated ML Engineering hire, you will build the production systems that train, deploy, and monitor machine learning models company-wide. You’ll define Sprinter Health’s MLOps blueprint—from inference pipelines to model governance—transforming research prototypes into reliable, scalable systems that directly improve patient outcomes and optimize complex last-mile clinical operations.
Staff Machine Learning Engineer at Sprinter Health
Sprinter Health is looking for its first Staff Machine Learning Engineer to lead the productionization of AI in home-based healthcare. This is a rare, founding first-of-function role where you will define the architectural blueprint for machine learning at a high-growth startup with multi-year runway. Join a world-class team of technologists and clinicians in San Francisco, enjoying a collaborative hybrid work environment, daily team lunches, and the chance to fix a $300B problem in the U.S. healthcare system.
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Location
San Francisco, United States
Compensation
$220k-$270k + Equity
Company
Sprinter Health
Role overview
Health-Tech750+ employees
At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can’t get to a doctor’s office; the ER becomes their first touchpoint with the healthcare system, driving over $300B in avoidable costs every year. By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need.
What you will do
- Build and lead the ML engineering function, designing the foundational infrastructure for model training, real-time serving, and feature pipelines.
- Implement robust monitoring and observability systems to detect drift, data quality issues, and performance regressions before they impact clinical operations.
- Partner with product and applied science teams to package models into reliable APIs and batch jobs that power Sprinter Health’s core marketplace.
Who this is a fit for
- Brings 8+ years of experience in production software and ML systems, with a track record of scaling infrastructure from the ground up.
- Possesses deep expertise in cloud infrastructure, containerization, and MLOps paradigms across training, serving, and model governance.
- Thrives in ambiguous startup environments, balancing architectural longevity with the need for speed and simplicity in a high-growth setting.
Why this role is remarkable
- Join as the first-of-function ML engineer, making foundational “build vs. buy” decisions and setting the technical architecture for all future hires.
- Work for a mission-driven company with $125M in funding, multi-year runway, and a proven track record of serving over 2 million patients.
- Enjoy a high-collaboration culture with daily team lunches, hybrid flexibility, and comprehensive benefits including 100% employer-paid healthcare premiums for you and dependents.
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