---
title: 'Machine Learning Engineer at Layer Health'
canonical: 'https://feeny.ai/job/machine-learning-engineer-layer-health-boston-k7z0nhfxps39'
type: 'job'
last_seen: '2026-09-11'
---

# Machine Learning Engineer at Layer Health

- **Company:** Layer Health
- **Location:** Boston, MA
- **Posted:** 2025-09-10
- **Last confirmed live:** 2026-09-11
- **Apply:** https://job-boards.greenhouse.io/layerhealth/jobs/4915887008

## 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.

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.

[Here’s a collection of articles about our product, mission, recent funding round, etc.](https://www.layerhealth.com/resources)

You can expect to:

- 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 ML for healthcare.
- Ensure robust monitoring, logging, and error handling for deployed systems.
- Stay updated on the latest advancements in machine learning and AI.
- Cultivate a robust ML engineering and product culture that drives the company forward.

We look for:

- 5-7+ years of experience in backend and cloud platform software development, with the ability and flexibility to traverse the stack when necessary.
- Fluency in one or more backend programming languages including Python, Golang, Rust, Java (we use Python).
- Familiarity with modern ML/LLM techniques and frameworks.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
- Experience in 0-to-1 development of end-to-end ML systems (design, training, inference, deployment, and monitoring; bonus if involving LLMs). - this is a bonus and not a requirement
- Experience developing and maintaining performant, scalable, and data-centric enterprise software products.
- Strong problem-solving skills and attention to detail.
- Excellent communication skills, with the ability to articulate complex 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 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 $210,000-250,000/year, 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 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.

## About Layer Health

## Company Overview
- **One-liner**: Layer Health provides an AI-powered clinical intelligence platform that automates medical chart review and clinical registry abstraction for health systems.
- **Entity Type**: Private (Series A-II)
- **Headquarters**: Brookline, Massachusetts, United States
- **Founded**: 2023
- **Founders**: Monica Agrawal, Divya Gopinath, David Sontag, Steven Horng

## Core Business
- **Primary industry/industries**: Healthcare AI, Clinical Informatics, Digital Health
- **Target customers**: B2B – health systems, hospitals, and life sciences organizations
- **Mission or purpose statement**: "Change how information is fundamentally processed in healthcare" by deploying AI to solve real clinical problems, ensuring the right care at the right time and place.

## Products & Services
- **Clinical Registry Automation**: AI-supported abstraction that works across service lines (cardiovascular, surgery, oncology) – validated to achieve 50%+ time savings in 10 weeks or less.
- **Custom Quality Metric Abstraction**: Automates extraction of any custom variable (e.g., SSI, discharge medicine Rx) from the full clinical record with evidence-backed accuracy.
- **Clinical Pathways**: Identifies eligible patients for high-value, guideline-aligned procedures by reasoning across the entire longitudinal record.
- **Site of Care Optimization**: Screens patients against complex protocols to decant low-acuity cases and backfill hospital capacity with more complex procedures.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total funding raised – $33.55M (as of latest Series A-II)
- **Notable Investors/Partners**: Intermountain Health (strategic investment and multi-year AI deployment), Johns Hopkins Medicine (multi-year collaboration), White Plains Hospital
- **Growth Signals**: Named to the 2026 New York Digital Health 100; listed in CB Insights’ 50 Most Promising Digital Health Startups; multiple live implementations at leading U.S. health systems.

## Competitive Advantages
- **Elite team**: Founded by AI and clinical leaders from MIT, Harvard Medical School, and Google; team holds 200+ peer-reviewed publications
- **Validated accuracy**: Model accuracy validated on customer data and proven to match or exceed human performance
- **Continuous improvement**: Models are continuously monitored and improve with every piece of feedback
- **Native workflow integration**: AI modules integrate directly into existing clinical workflows with dedicated change management support

## Strategic Focus
- **Deepen enterprise partnerships**: Expand multi-year AI deployments with major health systems (e.g., Intermountain Health, Johns Hopkins)
- **Scale across service lines**: Move beyond initial registry automation into quality measurement, clinical guidance, and site-of-care optimization
- **Drive adoption and ROI**: Move from pilots to production with measurable time and cost savings for clients

## Why Work Here
- **Culture**: "Clinicians, scientists, and engineers" motivated by real-world impact and a shared vision of tomorrow’s healthcare world
- **Team**: Small but growing team (around 20-50 employees) with deep expertise in ML, clinical medicine, engineering, and commercial execution
- **Locations**: Hybrid/office roles based in Boston, MA (Brookline) and New York, NY; some contractor roles are fully remote
- **Engineering culture**: Heavy emphasis on machine learning, backend infrastructure, data science, and product engineering – open roles include ML Engineer, ML Scientist, Research Engineer, Fullstack Engineer, SRE, and Data Scientist
- **Perks**: Not explicitly listed, but the company offers dedicated change management and continuous improvement support to its teams

## Sources
1. [layerhealth.com (Home)](https://www.layerhealth.com/)
2. [layerhealth.com (Company)](https://www.layerhealth.com/company)
3. [greenhouse.io (Jobs)](https://job-boards.greenhouse.io/layerhealth/jobs/5025477008)
4. [cbinsights.com](https://www.cbinsights.com/company/layer-health)
5. [linkedin.com](https://www.linkedin.com/company/layerhealth)

## Other roles at Layer Health

- [Forward Deployed Data Scientist](https://feeny.ai/job/forward-deployed-data-scientist-layer-health-boston-jx7hmhsnv3h3) — Boston, MA
- [Head of Finance](https://feeny.ai/job/head-of-finance-layer-health-boston-g0m4c8azqde9) — Boston, MA
- [Clinical Quality Data Abstraction Specialist - GWTG (Contractor)](https://feeny.ai/job/clinical-quality-data-abstraction-specialist-gwtg-contractor-layer-health-wfvwaej4f9r4) — United States
- [Clinical Quality Data Abstraction Specialist - CathPCI (Contractor)](https://feeny.ai/job/clinical-quality-data-abstraction-specialist-cathpci-contractor-layer-health-ea5m4vaykevt) — United States
- [Physician Informatician (MD required)](https://feeny.ai/job/physician-informatician-md-required-layer-health-united-states-xp71gxwkvetb) — United States
- [Account Director](https://feeny.ai/job/account-director-layer-health-boston-nyc-or-qh32rdyyf9ft) — Boston Nyc OR, United States
- [Engineering Manager, Machine Learning](https://feeny.ai/job/engineering-manager-machine-learning-layer-health-boston-xws1mvq9myc0) — Boston, MA
- [Clinical Data Integration Engineer](https://feeny.ai/job/clinical-data-integration-engineer-layer-health-boston-massachusetts-united-6nvpc5c1px2f) — Boston Massachusetts United States New York New York, United States
- [Solutions Engineer](https://feeny.ai/job/solutions-engineer-layer-health-boston-massachusetts-united-states-new-york-new-g46t6vw6xmvr) — Boston Massachusetts United States New York New York, United States
- [Customer Success Manager](https://feeny.ai/job/customer-success-manager-layer-health-boston-c9dkbnf01vns) — Boston, MA