Applied ML Engineer — Clinical LLM
Posted yesterday · 47 applicants
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The role in plain words
- MS/PhD in CS/ML or equivalent experience
- Python
- PyTorch or JAX
- Production ML pipelines
- Rigorous experimentation and documentation
- NLP / LLM fine-tuning and eval harnesses
- On-device or edge inference
Extracted from the job description · kept up to date automatically
Who this suits
Full job description
Original listing · kept for referenceAbout The Role
Join the team pushing healthcare LLMs from demo to deployment: evaluation, safety, retrieval, and product integration alongside clinicians. You will partner with product and compliance to ship assistive tools that augment — not replace — professional judgment.
Requirements
• MS/PhD in CS/ML or equivalent experience
• Python, PyTorch or JAX, production ML pipelines
• Rigorous experimentation and documentation
Nice to have
• NLP / LLM fine-tuning and eval harnesses
• On-device or edge inference
• Clinical or biomedical datasets
Benefits
• Top-tier hardware
• Conference travel
• Close collaboration with medical advisors
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- MS/PhD in CS/ML or equivalent experience, Python, PyTorch or JAX, Production ML pipelines, Rigorous experimentation and documentation