Backend Software Engineer - Platform

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.

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.

What you’ll do

• Design and develop scalable backend services and APIs for internal and external use.


• Work closely with product & engineering to help abstract infrastructure complexity (self-service tooling, developer workflows, etc).


• Support our engineering team on ongoing infra improvements such as end to end testing and release process, security ops efficiency, etc


• Collaborate on deployment, monitoring, and reliability of backend systems and infrastructure.

What we look for

• 3+ years building backend systems (startup experience a big plus).


• Strong in a backend language (e.g., Python, Go, Node) and comfortable with infrastructure concerns (cloud, containers, IaC).


• Experience designing APIs/services for scale and reliability.


• Passion for working in a fast-moving startup environment where ambiguity is the norm.


• Thrives in fast-moving, mission-driven environments with a lot of autonomy and ambiguity.


• Excellent communication and interpersonal skills.


• Ability to work collaboratively across internal teams.


• Passion for transforming healthcare with state-of-the-art AI technology.

Expected compensation range for this role is $140,000-160,000. 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 greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made.

If you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement. We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo.

Layer Health is committed to fostering an environment of inclusion that is free from discrimination. We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law.

Join us and help us transform healthcare with AI.