# Engineering Manager, Machine Learning

**Company:** [Layer Health](https://hotfix.jobs/companies/layer-health)
**Location:** Boston, MA, New York, NY
**Role:** Engineering Management
**Salary:** $250k – $275k/yr
**Experience:** 7+ years
**Skills:** Machine Learning, LLMs, NLP, Python, Data Pipelines, Model Training, Model Evaluation, Production Deployment, ML Infrastructure, Observability
**Posted:** 2025-12-17

> Leads a team of ML engineers and scientists as a player-coach, driving end-to-end ML systems from research to production deployment for healthcare AI. Requires 7+ years ML experience, 2+ years technical leadership, Python fluency, and bachelor's degree.

## Job Description

## 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.
- Work closely with our engineering team to integrate and scale models in production, optimize inference efficiency, and maintain strong observability and monitoring.
- Establish and champion best practices in modeling, code quality, reproducibility, and experiment design—helping define “what incredible looks like” for ML at an early-stage, mission-driven health tech company.
- Communicate technical work clearly to cross-functional partners and leadership, translating ML developments into strategic implications for the business and product.
- Recruit, cultivate, and inspire the next generation of technical talent as the team grows.

## What we look for

- Degree in computer science, mathematics, physics, or a related field.
- 7+ years of hands-on ML experience, ideally including **LLMs** or **NLP**; healthcare exposure is a plus but not required.
- 2+ years of technical leadership experience (formal or informal) where you’ve guided teams, set direction, and mentored others and 1 or more years formal management experience.
- Deep ML expertise: model development, training workflows, data pipeline design, evaluation methodology, and production deployment.
- Strong **Python** fluency and experience with modern ML tooling and infrastructure.
- Comfortable owning production-level data pipelines, monitoring, and performance analysis.
- A strategic thinker who can also dive deep into hands-on implementation when needed.
- Thrives in fast-paced, high-autonomy environments with evolving requirements.
- Excellent communication and collaboration skills.
- A passion for transforming healthcare with state-of-the-art AI.

## Would be nice

- Previous early stage startup experience (and a love for it)

## Compensation

Expected compensation range for this role is **$250,000-275,000**. Compensation is dependent on experience, overall fit to our role, and candidate location.

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