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Machine Learning Engineer
Sprinter HealthML Engineer building production systems that train and serve machine learning models. Working at Sprinter Health to deliver care directly to homes.
Posted 7/27/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSenior💰 $140,000 - $200,000 per yearWebsite
Tech Stack
Tools & technologiesCloudPython
About the role
Key responsibilities & impact- Build and harden training pipelines.
- Package models for deployment.
- Serve predictions through APIs or batch jobs with reliability in mind.
- Maintain feature pipelines and keep features fresh and correct.
- Monitor drift, data quality, latency, cost, and performance.
- Automate retraining and validation, and design safe rollback.
- Prevent training-serving skew and silent model degradation.
- Productionize models handed off from other teams.
- Build clean interfaces between data, model, and product systems.
- Implement reproducibility, versioning, and model-governance artifacts.
Requirements
What you’ll need- Strong Python and software-engineering fundamentals.
- Experience with ML frameworks, data pipelines, and model serving.
- Experience taking models from prototype to reliable production.
- Cloud infrastructure, containers, CI/CD, and orchestration.
- Monitoring and observability, plus reproducibility and versioning across data, features, and models.
- Comfort with security and privacy controls for sensitive data.
Benefits
Comp & perks- Meaningful pre-IPO equity
- Medical, dental, and vision plans 100% paid for you and your dependents
- Flexible PTO + 10 paid holidays per year
- 401(k) with match
- 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
- Free daily lunch in-office
- Annual learning stipend