# Machine Learning Engineer

**Company:** [Sprinter Health](https://hotfix.jobs/companies/sprinter-health)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Salary:** $140k – $200k/yr
**Experience:** 5+ years
**Skills:** Python, Machine Learning, ml frameworks, Data Pipelines, model serving, Cloud Infrastructure, Containers, CI/CD, orchestration, Monitoring, Observability, feature stores, MLOps
**Posted:** 2026-07-27

> Build and maintain production ML systems including training/inference pipelines, model serving via APIs/batch, monitoring for drift, and automated retraining. Productionize models from prototypes with strong Python, MLOps, and reliability focus.

## Job Description

## What you will do

### Production ML Systems
- 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.

### Reliability & Observability
- Monitor drift, data quality, latency, cost, and performance.
- Automate retraining and validation, and design safe rollback.
- Prevent training-serving skew and silent model degradation.

### Collaboration & Craft
- Productionize models handed off from other teams.
- Build clean interfaces between data, model, and product systems.
- Implement reproducibility, versioning, and model-governance artifacts.

## What you have done
- 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.

## What gives you an edge
- 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.

## What we offer
- 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

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**Apply:** https://hotfix.jobs/jobs/e23629bf-f55a-4356-83ae-e0de9bfbf68c
**Canonical:** https://hotfix.jobs/jobs/e23629bf-f55a-4356-83ae-e0de9bfbf68c