Production ML Engineer - Systems & Reliability

Sprinter Health; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Sprinter Health in San Francisco is seeking an ML Engineer to build production systems that train, deploy, monitor, retrain, and serve machine-learning models reliably.

You will bridge software engineering, data engineering, and modeling to make ML work in production. You think in systems, not notebooks.

You will construct training and inference pipelines, serve predictions via APIs and batch jobs, and implement monitoring to catch drift before it affects patients or partners.

Qualifications

• Strong knowledge of ML algorithms and production systems.
• Experience building ML pipelines and serving models.

Responsibilities

• Build training and inference pipelines.
• Serve predictions via APIs and batch jobs and monitor model performance.

Job description

Sprinter Health in San Francisco is seeking an ML Engineer to build production systems that train, deploy, monitor, retrain, and serve machine-learning models reliably. You will bridge software engineering, data engineering, and modeling to make ML work in production.

You’ll construct training and inference pipelines, serve predictions via APIs and batch jobs, and implement monitoring to catch drift before it affects patients or partners. You think in systems, not notebooks.