Lead Machine Learning Engineer - Infrastructure

Layer Health

Boston, US
Base: $210,000-260,000pyear; bonus/equity: stock o...
On-site
Ml pipelines and infrastructure
Scalable backend infrastructure
Llm research into production
Layer Health is building an AI layer to accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare

Job Summary

  • Layer Health is building an AI layer to accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare.
  • You will architect efficient, secure, reliable, and performant ML pipelines and infrastructure, and translate state-of-the-art LLM research into production.
  • We are seeking outstanding hires to join our team as early members, offering an opportunity to contribute to a high-impact, collaborative, mission-driven team.

Matching Summary

Layer Health is building an AI layer to accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare.

Salary

Base: $210,000-260,000/year; Bonus/Equity: stock options; Benefits: Not specified

Skills & Requirements

Must-have

  • ML pipelines and infrastructure
  • Scalable backend infrastructure
  • LLM research into production
  • Clinical data handling
  • Production model quality
  • Model development and deployment pipelines
  • Monitoring, logging, and error handling

Nice-to-have

  • Disrupt healthcare with AI/ML
  • Customer-focused and fast-paced environment
  • Rigorous thinking and challenging status quo

Key Requirements

  • 3+ years ML-native backend infrastructure
  • 5-7+ years backend and cloud platform development
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
  • Experience in 0-to-1 ML systems development
  • Experience with enterprise software products

Work Rights

Not specified

Tailored Resume

Cover Letter