Sprinter Health combines technology and a full-stack medical practice to reimagine care at home. Backed by Accel, General Catalyst and a16z.
About the role
We’re looking for an Applied Scientist, AI to turn messy, high-stakes healthcare problems into machine learning models and AI systems that improve access to care and help Sprinter operate more effectively.
What they're looking for
- Built, evaluated, and iterated on machine learning or AI models for real-world use cases
- Turned ambiguous business, product, clinical, or operational problems into measurable modeling tasks
- Designed rigorous offline evaluations, experiments, or analyses that informed production or product decisions
- Worked with messy real-world datasets where labels, outcomes, and causal relationships are imperfect
- Used statistical reasoning, experimental design, and error analysis to understand model performance
- Built models using Python and standard ML or AI tooling such as PyTorch, scikit-learn, NumPy, pandas, Polars, Hugging Face, Matplotlib, or similar
More about this role
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. For many, 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 it most. So far, we’ve supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators has raised over $125M from investors like a16z, General Catalyst, GV, and Accel and enjoys multi-year runway.
We’re looking for an Applied Scientist, AI to turn messy, high-stakes healthcare problems into machine learning models and AI systems that improve access to care and help Sprinter operate more effectively.
This role sits at the intersection of research, product, engineering, and clinical operations. You’ll take ambiguous product and operational problems and turn them into well-scoped...
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