Job DescriptionWe'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.
