About the Role
We are seeking an ML Engineer to develop production systems for training, deploying, monitoring, retraining, and serving machine-learning models reliably. This role bridges software engineering, data engineering, and modeling to ensure ML models function effectively in real-world applications.
Responsibilities
- 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
- Strong Python and software-engineering fundamentals.
- Experience with ML frameworks, data pipelines, and model serving.
- Experience taking models from prototype to reliable production.
- Experience with cloud infrastructure, containers, CI/CD, and orchestration.
- Experience with monitoring and observability, plus reproducibility and versioning across data, features, and models.
- Comfort with security and privacy controls for sensitive data.
- Background in backend engineering, data engineering, MLOps, or platform engineering.
- Experience with feature stores or feature pipelines at scale.
- Familiarity with healthcare data and PHI-aware systems.
Location
- Hybrid
Work Type
- Hybrid
- Full-time
Benefits
- 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
About the Company
- At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can’t get to a doctor’s office. For many, the ER becomes their first touchpoint with the healthcare system—driving over $300B in avoidable costs every year.
- 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. So far, we’ve supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS.
- Our team of clinicians, technologists, and operators have raised over $125M to date investors like a16z, General Catalyst, GV, and Accel and enjoy multi-year runway.
