What are the responsibilities and job description for the ML Research Engineer position at Layer Health?
About us
Layer Health is an AI startup spun out of MIT. We leverage LLMs to vastly improve the value and impact that can be unlocked from medical record data - building the "AI layer" for healthcare.
We know that all organizations in the healthcare ecosystem struggle to extract and synthesize insights from medical records at scale. Our AI layer radically speeds up and improves the quality of information gleaned from these records to power a wide range of impactful use cases- from research to quality measurement to clinical care pathways. Our team consists of world-class experts across machine learning, LLMs, medicine, engineering, and commercial execution. We are a Series A company headquartered in Boston, with offices in both Boston and NYC.
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.
Job Description
We're hiring an exceptional ML Engineer to join our team (Boston or NYC office). In this role, you will design, develop, and deploy scalable ML software systems to address large-scale challenges in healthcare. You will work closely with our software engineers, research scientists, and product teams to build ML-native enterprise platforms, ensuring scalability, efficiency, and reliability.
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 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.
We look for :
Join us and help us transform healthcare with AI. Layer Health is committed to foster an environment of inclusion that is free from discrimination. We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. 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.
Expected compensation range for this role is $155,000-190,000 for Boston and NYC-based candidates; range may vary for candidates outside of the Boston / NYC metro area. 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.
Salary : $155,000 - $190,000
