Engineering Manager, Machine Learning

🏢 Layerhealth · 📍 Boston or NYC 💰 $250,000 - $250,000 / yr

⚡ Direct Talent Broker Referral

Why apply through CandidatesReach?

✔ Tailored Executive Endorsement Letter: Highlight your real strengths and verified background directly to hiring leads.

✔ Your Preferred Screening Terms: Choose between a 1-minute quick phone screen or scheduled email calendar.

✔ $500 Cash Hiring Bonus: Receive $500 direct cash reward after 30 days of active employment.

Position Summary & Responsibilities

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 currently looking to hire our first ML Engineering Manager to help mentor our team and oversee ML strategy. This is a hybrid role in our Boston or NYC office; you will work closely with our engineers, ML scientists, and product teams to enable our team 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.

What you’ll do

Provide technical leadership and management to a small, high-leverage team of ML Engineers, Research Engineers, and ML/Data Scientists. Act as a player-coach: you’ll set direction while remaining actively involved in design, experimentation, and implementation.
Drive the development of end-to-end ML systems—from shaping ambiguous problems into clear model requirements, training datasets, evaluation frameworks, and model architectures, to supporting reliable production deployment.
Help craft and drive the ML technical agenda in partnership with engineering, research, and product leadership, ensuring the roadmap aligns with company goals and high-impact opportunities.
Lead rigorous experimentation and model evaluation, ensuring our LLM systems meet clinical-grade performance and reliability requirements

🎯 Candidate Preparation Guide For Layerhealth Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Strict evaluation centers on healthcare data interoperability, strict clinical data privacy standards (HIPAA/PHI), and enterprise AI integration.

📋 Preparation Priorities (Key Areas to Clarify):

1. Proposing move-fast-and-break-things engineering approaches that compromise healthcare data privacy or regulatory compliance.
2. Superficial understanding of clinical workflows and administrative friction points in hospitals.
3. Inability to explain complex technical medical data pipelines to non-technical clinical stakeholders.

✨ Recommended Role Alignment Hook:

I build secure, interoperable health data infrastructure that empowers clinical teams without ever compromising patient privacy.

🔒 Free Candidate Preparation Access

Unlock Preparation Priorities & Alignment Hook

🤝 Talent Broker Referral · $500 Bonus Included

Apply for Engineering Manager, Machine Learning

Setup your contact terms & referral note to get recommended directly to the hiring lead at Layerhealth.

⚡ Continue with Google (Instant Setup)

or with email

Already have an account? Sign in here