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Layer HealthLayer HealthBoston, MA

Machine Learning Engineer

Designs, develops, and deploys scalable ML systems using LLMs to process clinical data for healthcare applications. Requires 5+ years backend/cloud experience, Python fluency, and familiarity with ML frameworks; works onsite in Boston or NYC.

210k – 250k
On-site5+ YOEML Engineering

About the role

Responsibilities

  • Translate state-of-the-art LLM research into production systems.
  • Work with complex, large-scale clinical data (structured and unstructured) in cloud environments.
  • Develop methods for high-quality results, including drift detection, observability tooling.
  • Collaborate with product, engineering, and research teams to improve products.
  • Ensure robust monitoring, logging, and error handling for deployed systems.
  • Stay updated on ML/AI advancements.
  • Cultivate ML engineering and product culture.

Requirements

  • 5-7+ years in backend and cloud platform software development.
  • Fluency in Python, Golang, Rust, or Java (Python used).
  • Familiarity with modern ML/LLM techniques and frameworks.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
  • Experience developing scalable, data-centric enterprise software.
  • Strong problem-solving, attention to detail, communication skills.

Nice-to-Haves

  • 0-to-1 development of end-to-end ML systems (design, training, inference, deployment, monitoring; bonus for LLMs).

Compensation

  • $210,000-250,000/year base, plus stock options (dependent on experience, fit, location).

Skills

PythonLLMsMachine LearningCloud PlatformsGoRustJavaModel MonitoringDrift DetectionObservability Tooling

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