Tech Stack
Responsibilities
- Turn ambiguous healthcare, product, and operational problems into well-posed ML, AI, ranking, optimization, NLP, or LLM-based tasks
- Develop, build, and improve models using Python and standard ML/AI tooling such as PyTorch, scikit-learn, and Hugging Face
- Design rigorous offline and online evaluations, error analysis, and statistical tests to ensure real-world impact and reliability
- Partner with ML engineering to productionize models and define operational requirements for deployment
- Collaborate with clinical stakeholders and subject-matter experts to validate model assumptions and review performance
Soft Skills
Machine LearningNatural Language ProcessingLarge Language ModelsCausal InferenceHealthcare AIStatistical ReasoningExperimental DesignCross-Functional Collaboration
Benefits
- 401k
- Dental
- Disability Insurance
- Equity
- Flexible PTO
- HSA/FSA
- Health Insurance
- Hybrid Work
- Learning Budget
- Life Insurance
- Parental Leave
- Relocation Assistance
- Vision
Culture
Cross-Functional TeamsWork-Life BalanceCareer LadderMission-Driven
Requirements
Preferred: MS or PhD in computer science, statistics, machine learning, applied math, operations research, biomedical informatics, epidemiology, or a related quantitative field
Regions: Us
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About Sprinter Health
Industry: healthtech
Size: small
Sprinter Health is an on-demand healthcare platform that reimagines how people access care by bringing medical services directly to their homes.
View company profile →Compensation
Equity: Meaningful pre-IPO equity
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