Sprinter Health
Applied Scientist, AI
San Francisco, CA
Sponsorship not specifiedDetected 2 days ago
PythonMachine LearningDeep LearningPyTorchscikit-learnPandasNumPyNLPLLMsStatisticsA/B TestingComplianceHIPAAEHR/EMRResearchExperimental DesignLeadershipCommunicationPublic SpeakingEpidemiology
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.
- 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 prediction, ranking, optimization, NLP, or LLM-based tasks.
Responsibilities
- Build strong baselines and improve on them efficiently using the right modeling approach for the problem
- Design offline and online evaluations that are honest, measurable, and predictive of real-world impact
- Partner with ML engineering to productionize models reliably and define what production-readiness requires
- Work with clinical stakeholders and subject-matter experts to validate assumptions, review model errors, and understand edge cases
- 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.
Compensation
- Recruiter Screen: Background fit, motivation, and compensation alignment
Benefits
- Meaningful pre-IPO equity
- Medical, dental, and vision plans 100% paid for you and your dependents
- Flexible PTO + 10 paid holidays per year
- 16-week parental leave policy for birthing parent, 8 weeks for all other parents
- HSA + FSA contributions
- Life insurance, plus short and long-term disability coverage
- Annual learning stipend
- At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes.
- For many, the ER becomes their first touchpoint with the healthcare system, driving over $300B in avoidable costs every year.
- Turn ambiguous healthcare, product, and operational problems into well-posed ML, AI, ranking, optimization, NLP, or LLM-based tasks
- Develop models across traditional ML, deep learning, NLP, and LLM-based approaches where appropriate
- Choose metrics suited to imbalanced, delayed, noisy, and partially observed healthcare outcomes
Company info
- We are a hybrid company based in the Bay Area with offices in both San Francisco and Menlo Park.
Equal opportunity
- Sprinter Health is an equal opportunity employer.
- We value diversity at our company.
- We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected classes.
- Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false job offers.
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This listing is sourced directly from Sprinter Health's careers page and normalized into a canonical job model.