Sprinter Health
Machine Learning Engineer
San Francisco, CA (Remote)$140k–$200kfulltimemidAdded 2 months ago
About this role
Sprinter Health is seeking a Machine Learning Engineer to build and maintain robust production systems for training, deploying, and monitoring machine learning models. This role sits at the intersection of software, data, and modeling, ensuring models reliably serve predictions and adapt to changing data. You'll be crucial in transforming experimental models into dependable, company-wide tools.
What you'll do
- Build and optimize training pipelines.
- Package models for deployment and serve predictions via APIs or batch jobs.
- Monitor model performance, data quality, and drift.
- Automate retraining and validation processes.
- Build clean interfaces between data, models, and product systems.
What they're looking for
- Python
- ML Frameworks
- Data Pipelines
- Model Serving
- Cloud Infrastructure
- Monitoring & Observability
- Version Control
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Sprinter Health
- Industry
- Healthcare & Medical
Likely interview questions
- Describe your experience taking a model from prototype to production. What were the biggest challenges?
- How do you approach monitoring model performance in production, and what metrics are most important to track?