Skip to content
Layer HealthLayer HealthBoston, MA

ML Scientist

Pioneers innovative ML techniques and builds foundation models for clinical information extraction and synthesis from medical records. Requires PhD in CS/math with NLP/ML focus, high-impact publications, and experience with large-scale model training using PyTorch/JAX.

200k – 250k/yr
On-siteAI Research

About the role

Responsibilities

  • 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.

Requirements

  • Exceptional methodological research background and experience, including 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 (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.

Nice-to-Haves

  • Past experience in healthcare or life sciences.

Compensation

  • Expected compensation range: $200,000-250,000, in addition to stock options. Compensation dependent on experience, fit, and location.

Skills

PyTorchJAXNatural Language ProcessingMachine LearningLLMsFoundation ModelsDistributed TrainingInformation ExtractionMultimodal ReasoningGenerative AI

Similar roles

AI Research jobs
Hedra

Research Scientist

HedraSan Francisco, CA

Leads original research in action-conditioned world models, physical AI, and generative modeling for embodied systems. Requires PhD in ML/CS/Robotics with top publications and expertise in generative models and large-scale training.

200k – 325k/yr
On-siteAI Research
Together AI

AI Researcher, Core ML (Turbo)

Together AISan Francisco, CA

Develops efficient inference engines and RL/post-training pipelines for production-scale LLMs, optimizing algorithms, systems, and performance across the stack. Requires 3+ years in ML systems/RL/inference and advanced degree.

200k – 280k/yr
On-site3+ YOEAI Research
Unsiloed AI

Founding ML Researcher

Unsiloed AISan Francisco, CA

Founding ML Researcher shapes ML research direction for document AI, owns end-to-end lifecycle from research to production deployment. Requires expertise in VLMs, computer vision, unstructured data parsing; PhD preferred.

200k – 300k/yr
On-siteAI Research
Amperoshealth

AI Research Engineer

AmperoshealthNew York, NY +1

Develops advanced AI agents for healthcare revenue recovery, focusing on human-like conversational AI, model improvements, LLM orchestration, and evaluation frameworks to handle insurance interactions and billing tasks.

200k – 300k/yr
On-siteAI Research
Scale AI

Research Scientist, Frontier Risk Evaluations

Scale AISan Francisco, CA +2

Designs evaluation measures, harnesses, and datasets to assess risks from frontier AI systems, including dangerous capabilities testing. Collaborates with agencies, publishes methodologies for policymakers; requires 3+ years ML experience and publications in generative AI.

197k – 247k/yr
On-site3+ YOEAI Research