About us:

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.

We’re currently looking to hire our first ML Engineering Manager to help mentor our team and oversee ML strategy. This is a hybrid role in our Boston or NYC office; you will work closely with our engineers, ML scientists, and product teams to enable our team to build ML-native enterprise platforms, ensuring scalability, efficiency, and reliability.

Here’s a collection of articles about our product, mission, recent funding round, etc.

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)

Expected compensation range for this role is $250,000-275,000. 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. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo. 

Layer Health is committed to fostering 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.

Join us and help us transform healthcare with AI.

About us:

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.

We’re hiring an exceptional Backend Platform Engineer to join our team (Boston or NYC office). 

What you’ll do

• Design and develop scalable backend services and APIs for internal and external use.
• Work closely with product & engineering to help abstract infrastructure complexity (self-service tooling, developer workflows, etc).
• Support our engineering team on ongoing infra improvements such as end to end testing and release process, security ops efficiency, etc
• Collaborate on deployment, monitoring, and reliability of backend systems and infrastructure.

What we look for

• 3+ years building backend systems (startup experience a big plus).
• Strong in a backend language (e.g., Python, Go, Node) and comfortable with infrastructure concerns (cloud, containers, IaC).
• Experience designing APIs/services for scale and reliability.
• Passion for working in a fast-moving startup environment where ambiguity is the norm.
• Thrives in fast-moving, mission-driven environments with a lot of autonomy and ambiguity.
• Excellent communication and interpersonal skills.
• Ability to work collaboratively across internal teams.
• Passion for transforming healthcare with state-of-the-art AI technology.

Expected compensation range for this role is $140,000-160,000. 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. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo. 

Layer Health is committed to fostering 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.

Join us and help us transform healthcare with AI.

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

We’re hiring an exceptional ML scientist. In this role, you will be responsible for pioneering innovative machine learning techniques to advance our fundamental clinical machine learning and large language model efforts.

You can expect to:

• Design and implement state-of-the-art machine learning techniques to advance Layer Health’s research agenda (in areas such as information extraction, multimodal reasoning, and summarization).
• Propose new agentic methods that tackle fundamental NLP and ML challenges such as modeling over multiple documents, long contexts, multiple modalities, and with limited or noisy labels  
• Build foundation models to power the future of clinical information extraction & synthesis, from training through inference. 
• Stay up-to-date and actively engage with cutting-edge research in NLP, generative AI, and clinical machine learning.
• Collaborate with the broader engineering team to ship performant products that meet user needs.
• Cultivate and foster a robust and thoughtful R&D culture that drives the company forward.

We look for:

• Exceptional methodological research background and experience, including but not limited to:
• A PhD in computer science/applied mathematics or equivalent research experience, specializing in natural language processing and machine learning.
• High-impact, early-author publications at top peer-reviewed ML journals/conferences.
• Demonstrated record of delivering real-world impact from start to finish– with the ability to design, develop, and ship innovations.
• Strong programming skills and fluency with modern machine learning/LLM stacks (deep learning libraries e.g. PyTorch, Jax).
• Past experience in training/inference of foundation models (billions of parameters, distributed training, familiarity with state-of-the-art techniques).
• A strong communicator who thrives in a customer-focused, fast-paced environment.
• An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team. 
• Past experience in healthcare of life sciences is a plus, but not required.
• We are a Boston-based company, and expect employees to meet regularly in-person in Boston (employees from Boston, NYC, or east coast are welcome).

Expected compensation range for this role is $200,000-250,000, in addition to stock options. 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. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo. 

Layer Health is committed to fostering 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.

Join us and help us transform healthcare with AI.

About us

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 exceptional engineers to join us as early members. 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

In this role, you will lead the design and implementation of key parts of our platform. This role can be hybrid (2-3 days per week in office) in either our Boston or NYC office.

You can expect to:

• Develop the backend for new product features, including implementing new data models and new APIs.
• Re-architect our databases and data infrastructure for scalability, security and reliability.
• Implement integrations with customer databases (e.g., EHR backends) and partner cloud data warehouses (e.g., Snowflake).
• Design, build, and maintain scalable and performant APIs and microservices on our core backend infrastructure. 
• Develop reliable, scalable services and client libraries on large amounts of data in the cloud.
• Innovate and implement robust data models and infrastructure that cater to various technical and business constraints for regulated areas.
• Collaborate on a cross-functional team to design and ship new product features/experiences. 
• Cultivate a robust engineering and product culture that drives the company forward.

We look for:

• 5-7+ years of experience in backend and cloud platform software development, with the ability and flexibility to traverse the stack when necessary. 
• Experience in ingesting and processing massive amounts of cloud-native data, with a focus on building scalable data pipelines and infrastructure.
• Experience developing and maintaining performant, scalable, and data-centric enterprise software products.
• Fluency in one or more programming languages, e.g. Python, Java, C, C++, Rust, or Go. 
• Fluency with modern, cloud-native tech stacks and frameworks.
• Experience with infrastructure as code and cloud deployment frameworks like Kubernetes, Helm, and Terraform.
• A strong communicator who thrives in a customer-focused, fast-paced environment. 
• An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team.

Expected compensation range for this role is $200,000-250,000, in addition to stock options. 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. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo. 

Layer Health is committed to fostering 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.

Join us and help us transform healthcare with AI.

About us:

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.

We’re hiring an exceptional ML Infra Engineer to join our team (Boston or NYC office). You will work closely with our software engineers, research scientists, and product teams to build ML-native enterprise platforms, ensuring scalability, efficiency, and reliability.

Here’s a collection of articles about our product, mission, recent funding round, etc.

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:

• 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. 
• We expect engineers to meet regularly in-person in either our NYC or Boston office (engineers from Boston, NYC, or east coast are welcome).

Expected compensation range for this role is $210,000-260,000/year, in addition to stock options. 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. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo. 

Layer Health is committed to fostering 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.

Join us and help us transform healthcare with AI.

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.

Here’s a collection of articles about our product, mission, recent funding round, etc.

We’re seeking exceptional fullstack engineers to join us at our early stage. Together, we will create the AI layer that will redefine healthcare for the better.

Job Description

We’re hiring an experienced product-minded full stack engineer to join our team. In this role, you will own the end to end development of new features and product experiences to supercharge Layer Health’s internal and customer facing applications.

You can expect to:

• Design, build, and maintain scalable and performant APIs and web applications.
• Speak with customers to understand their needs and design solutions to address them.
• Collaborate on a cross-functional team to design and ship new product features/experiences. 
• Cultivate a robust engineering and product culture that drives the company forward.
• Work closely with Layer’s engineers to design highly scalable, fast, and secure applications deployed in critical healthcare environments.

We look for:

• 7+ years of experience in full stack software development, with the ability and flexibility to traverse the stack when necessary.
• Fluency in Typescript, React, and other modern web technologies (we use React).
• Fluency in one or more backend languages (we use Python).
• A strong communicator who thrives in a customer-focused, fast-paced environment. 
• A proactive problem-solver with a strong sense of ownership and the ability to work independently.
• An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team. 
• We expect engineers to meet regularly in-person in Boston or NYC at least 2-3 days per week in either office.

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 $190,000-230,000 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.

About us:

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.

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.

Here’s a collection of articles about our product, mission, recent funding round, etc.

You can expect to:

• 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.
• 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:

• 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). - this is a bonus and not a requirement
• 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. 
• We expect engineers to meet regularly in-person in either our NYC or Boston office (engineers from Boston, NYC, or east coast are welcome).

Expected compensation range for this role is $210,000-250,000/year, in addition to stock options. 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. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo. 

Layer Health is committed to fostering 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.

Join us and help us transform healthcare with AI.

About us

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 exceptional engineers to join as early members. 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

We’re hiring an experienced Site Reliability Engineer for our Boston or NYC office!

You can expect to:

• Design, build, and maintain resilient, scalable, and secure infrastructure to support critical healthcare applications.
• Develop and implement automation for provisioning, scaling, monitoring, and security of cloud-native systems.
• Collaborate closely with engineering teams to optimize system performance, reliability, and developer workflows.
• Lead incident response, root cause analysis, and postmortem processes to ensure continuous improvement.
• Cultivate a robust engineering and product culture that drives the company forward.

We look for:

• 5-7+ years of experience in DevOps, SRE, or infrastructure engineering roles, preferably in cloud-native environments (we run on GCP).
• Expertise in IaC tooling (e.g., Terraform, Helm), CI/CD pipelines, Kubernetes, and monitoring tools (e.g., Prometheus, Grafana).
• Proficiency in one or more scripting/programming languages such as Python, Go, or Bash.]
• A strong communicator who thrives in a customer-focused, fast-paced environment.
• A proactive problem-solver with a strong sense of ownership and the ability to work independently.
• An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team.
• We expect engineers to meet regularly in-person in our Boston or NYC offices.

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 $200,000-240,000 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.

About us

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

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:

• 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. 
• We are a Boston-based company, and expect engineers to meet regularly in-person in either our NYC or Boston office (engineers from Boston, NYC, or east coast are welcome).

Expected compensation range for this role is $160,000-200,000, in addition to stock options. 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. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo. 

Layer Health is committed to fostering 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.

Join us and help us transform healthcare with AI.