Lead Machine Learning Engineer - Infrastructure jobs in United States
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Layer Health · 1 month ago

Lead Machine Learning Engineer - Infrastructure

Layer Health is a pioneering company founded by leading machine learning researchers from MIT and Harvard Medical School, focused on transforming healthcare through AI. They are seeking a Lead Machine Learning Engineer - Infrastructure to architect and maintain scalable ML pipelines and backend infrastructure, collaborating with various teams to enhance their AI-driven healthcare solutions.

Artificial Intelligence (AI)Health CareInformation ServicesMedicalSoftware
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H1B Sponsor Likelynote

Responsibilities

Architect efficient, secure, reliable, and performant ML pipelines and infrastructure
Design, develop, and maintain scalable/data-centric backend infrastructure for our product
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
Build scalable infrastructure to ensure we can scalably 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 robust ML engineering and product culture that drives the company forward

Qualification

ML-native backend infrastructureCloud platform developmentPython programmingModern ML/LLM techniquesEnd-to-end ML systemsData-centric enterprise softwareProblem-solving skillsCommunication skillsTeam player

Required

3+ years of experience in building ML-native backend infrastructure
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)
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

Benefits

Stock options

Company

Layer Health

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Layer Health is a health technology company that utilizes AI and large language models to streamline medical chart reviews.

H1B Sponsorship

Layer Health has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)

Funding

Current Stage
Early Stage
Total Funding
$33.55M
Key Investors
Define Ventures
2025-03-27Series A· $29.55M
2023-11-14Seed· $4M

Leadership Team

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Divya Gopinath
Co-Founder
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Luke Murray
Co-Founder
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Company data provided by crunchbase