# Machine Learning Engineer (Staff) at Sprinter Health

- Company: Sprinter Health
- What the company does: Sprinter Health combines technology and a full-stack medical practice to reimagine care at home. Backed by Accel, General Catalyst and a16z.
- Company website: https://www.sprinterhealth.com/
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco, CA
- Work setup: Remote
- Pay: $220K to $270K base salary per year (USD)
- Posted: 2026-07-20
- Apply by: 2026-10-12
- Apply: https://jobs.ashbyhq.com/sprinter-health/0469d8f2-4d39-4e36-ab92-5380937efbfd
- Page: https://www.1752.vc/careers/jobs/sprinter-health-machine-learning-engineer-staff/

## About the role

Deciding what Sprinter’s serving and feature paradigms should be and writing the design docs behind those decisions Debugging a model-serving issue or production data quality problem

## What they're looking for

- Spent 8+ years building production software, data systems, ML systems, platform infrastructure, or related technical systems
- Built and owned ML systems in production across training, serving, features, monitoring, and deployment
- Taken models from prototype or research stage into reliable, production-grade systems
- Built or meaningfully scaled ML infrastructure, MLOps platforms, model-serving systems, feature pipelines, or related infrastructure
- Designed systems that other engineers, data scientists, analysts, or product teams rely on
- Made architectural decisions around ML platform design, serving patterns, feature infrastructure, build versus buy, and operational standards

Tags: Sprinter Health