ML Research Engineer

Layer Health; Boston; On-site; PHP 9,864,364 - 12,330,456; Full time

Job summary

Layer Health is seeking an experienced ML Engineer to design and deploy scalable machine-learning systems for healthcare challenges. You will collaborate closely with software engineers and research scientists to develop innovative solutions.

The ideal candidate has a strong background in backend software development, fluency in Python, and experience with ML systems. The role requires in-person meetings in Boston or NYC, offering a competitive salary range of $160,000-$200,000 plus stock options.

Qualifications

• 3+ years of experience building ML-native backend infrastructure.
• 5-7+ years of backend and cloud platform software development.
• Fluency in backend languages such as Python.

Responsibilities

• Design, develop, and deploy scalable machine-learning software systems.
• Architect efficient and reliable ML pipelines and infrastructure.
• Collaborate with product, engineering, and research teams.

Skills

ML-native backend infrastructure

Backend software development

Python

Problem-solving skills

Communication skills

Education

Bachelor’s degree in Computer Science

Tools

Golang

Rust

Java

Job description

ML Engineer

Location: Boston or NYC office (engineers are expected to meet in-person regularly).

Design, develop, and deploy scalable machine‑learning software systems to address large‑scale healthcare challenges, working closely with software engineers, research scientists, and product teams.

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 cutting‑edge LLM research into production, delivering value for customers.
• Work with complex, large‑scale, real‑world clinical data (structured and unstructured) in a cloud‑based environment.
• Develop methods and features to ensure high‑quality results for production models (drift detection, observability tooling, etc.).
• Collaborate with product, engineering, and research teams to improve products and build next‑generation ML for healthcare.
• Build scalable infrastructure to support efficient model development and deployment pipelines, CI/CD, testing, experimentation.
• Ensure robust monitoring, logging, and error handling for deployed systems.
• Stay updated on the latest advancements in machine learning and AI.
• Cultivate a strong ML engineering and product culture that drives the company forward.

We look for:

• 3+ years of experience building ML‑native backend infrastructure.
• 5‑7+ years of backend and cloud platform software development, with flexibility to traverse the stack.
• Fluency in backend languages such as Python (primary), Golang, Rust, or Java.
• Familiarity with modern ML/LLM techniques and frameworks.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
• Experience developing end‑to‑end ML systems (design, training, inference, deployment, monitoring); bonus for LLM work.
• Experience developing and maintaining performant, scalable, data‑centric enterprise software products.
• Strong problem‑solving skills and attention to detail.
• Excellent communication skills to articulate technical concepts to non‑technical stakeholders.
• Team player who is excited to disrupt healthcare with AI/ML in a fast‑paced, customer‑focused environment.
• We are a Boston‑based company and expect engineers to meet in person in either our NYC or Boston office (engineers from Boston, NYC, or East Coast are welcome).

Expected compensation range: $160,000‑200,000 plus stock options, depending on experience and fit, may change over time.

Layer Health is committed to fostering an environment of inclusion that is free from discrimination. We are an Equal Opportunity Employer. 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.