Layer Health

Layer Health

ML Research Engineer

Boston or NYC

Sponsorship not specified$160k-$200kDetected 468 days ago
PythonJavaGoRustCloud PlatformsCI/CDMachine LearningLLMsPatient CareResearchCommunicationProblem SolvingAdaptability

About the role

  • 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.

Responsibilities

  • You will work closely with our software engineers, research scientists, and product teams to build ML-native enterprise platforms, ensuring scalability, efficiency, and reliability.
  • Experience developing and maintaining performant, scalable, and data-centric enterprise software products.

Requirements

  • 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.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.

Skills

  • Architect efficient, secure, reliable, and performant ML pipelines and infrastructure.
  • Work with complex, large-scale, real-world clinical data (both structured and unstructured data) in a cloud-based environment.
  • Ensure robust monitoring, logging, and error handling for deployed systems.
  • Stay updated on the latest advancements in machine learning and AI.

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.

Benefits

  • Experience in 0-to-1 development of end-to-end ML systems (design, training, inference, deployment, and monitoring; bonus if involving LLMs).
  • 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.

Company info

  • 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.
  • Here's a collection of articles about our product, mission, recent funding round, etc.
  • Job Description
  • 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.
  • 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).

Equal opportunity

  • We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need.
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