Applied Scientist, AI

Posted

Sprinter HealthSan Francisco, CAHybridfull_timemid

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