Machine Learning Engineer

Sprinter Health
San Francisco
Workplace: HybridFull timeUSD 140,000 - 200,000 annuallyFunction: Data Science & Machine LearningSkills: ["Systems thinking","Reliability focus","Observability","Security and privacy awareness","Collaboration"]

Build and productionize machine-learning models by designing training and inference pipelines, packaging models for deployment, and serving predictions through APIs and batch jobs. Implement monitoring for drift, data quality, latency, cost, and performance, automate retraining and validation, and prevent silent model degradation. Work across data, modeling, and product systems, focusing on reliability, observability, and secure handling of sensitive healthcare data.

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FursaFursa
Sprinter Health
Sprinter Health
1 month ago

Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Build and productionize machine-learning models by designing training and inference pipelines, packaging models for deployment, and serving predictions through APIs and batch jobs. Implement monitoring for drift, data quality, latency, cost, and performance, automate retraining and validation, and prevent silent model degradation. Work across data, modeling, and product systems, focusing on reliability, observability, and secure handling of sensitive healthcare data.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build and harden training pipelines.
  • •Package models for deployment and serve predictions through APIs or batch jobs reliably.
  • •Maintain feature pipelines and keep features fresh and correct.
  • •Monitor drift and performance (data quality, latency, cost) and stand up monitoring for silent degradation.
  • •Automate retraining/validation and implement reproducibility, versioning, and model-governance artifacts with safe rollback.

Pay and Benefits

Salary: USD 140,000 - 200,000 annually
Perks:Health InsuranceDentalVision401kPaid LeaveLearning BudgetEquity

Key Requirements

  • •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.
  • •Comfort with security and privacy controls for sensitive data.
Experience:Healthcare
Skills:Systems thinkingReliability focusObservabilitySecurity and privacy awarenessCollaboration
Tech Stack:PythonML frameworksCI/CDContainersOrchestrationAPIsBatch jobs

Company Brief

Sprinter Health
Operates mobile and home-based primary care services focused on delivering in-home medical visits, chronic care management, and coordinated care for patients who face barriers accessing clinic-based care.
Industry: Healthcare Providers
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