ML Research Engineer
AI summary of the role
Design, develop, and deploy scalable ML software systems for healthcare, working with LLMs and clinical data.
What you’ll do
- Architect efficient, secure, reliable, and performant ML pipelines and infrastructure.
- Design, develop, and maintain scalable/data-centric backend infrastructure for our product.
- Translate state-of-the-art LLM research into production, delivering value for customers.
- Work with complex, large-scale, real-world clinical data in a cloud-based environment.
What you’ll bring
- 3+ years of experience in building ML-native backend infrastructure.
- 5-7+ years of experience in backend and cloud platform software development.
- Fluency in Python (or Golang, Rust, Java).
- Experience in 0-to-1 development of end-to-end ML systems.
Technologies
Python · Golang · Rust · Java · LLM · ML pipelines · cloud · CI/CD · observability
About Layer Health
LLM chart-review platform for health systems and life-sciences teams, extracting reliable evidence from longitudinal medical records for registries, quality, research, and pathways.
Series A · 10–50 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
mission-driven team, and help define the next stage of growth for Layer Health. Together, we will create the AI layer that will redefine healthcare for the better. Here’s a collection of articles about our product, mission, recent funding round, etc. Job Description We’re hiring an exceptional ML Engineer to join our team (Boston or NYC office). In this role, you will design, develop, and deploy scalable ML software systems to address large-scale challenges in healthcare. You will work closely with our software engineers, research scientists, and product teams to build ML-native enterprise platforms, ensuring scalability, efficiency, and reliability. You can expect to: Architect efficient, secure, reliable, and performant ML pipelines and infrastructure. Design, develop, and maintain scalable/data-centric backend infrastructure for our product. Translate start-of-the-art LLM
More from the job description
About us Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health’s diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine. We’re seeking outstanding hires to join our team as early members. This is an opportunity to contribute to a high-impact, collaborative, mission-driven team, and help define the next stage of growth for Layer Health. Together, we will create the AI layer that will redefine healthcare for the better. Here’s a collection of articles about our product, mission, recent funding round, etc. Job Description We’re hiring an exceptional ML Engineer to join our team (Boston or NYC office). In this role, you will design, develop, and deploy scalable ML software systems to address large-scale challenges in healthcare. You will work closely w [... source excerpt omitted ...] evelop, and maintain scalable/data-centric backend infrastructure for our product. Translate start-of-the-art LLM research (both internally developed and from the community) into production, delivering value for our customers. Work with complex, large-scale, real-world clinical data (both structured and unstructured data) in a cloud-based environment. Develop methods and features to ensure high-quality results for our production models (methods to detect drift/performance degradation; develop observability tooling for performance characteristics, etc.). Collaborate with the broader product, engineering, and research teams to improve our products and build the next-generation of [... source excerpt omitted ...] ex technical concepts to non-technical stakeholders. An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team, in a customer-focused and fast-paced environment. We are a Boston-based company, and expect engineers to meet regularly in-person in either our NYC or Boston office (engineers from Boston, NYC, or east coast are welcome). Expected compensation range for this role is $160,000-200,000, in addition to stock options. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is great
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