Member of Technical Staff

Summary

Compiled Health is a clinical AI research company building systems that convert evidence-based clinical standards into executable decision artifacts for production healthcare use. The Member of Technical Staff will research, design, evaluate, and deploy machine learning approaches for extracting, structuring, validating, and proving clinical logic in the company's compiler pipeline.

Responsibilities

• Develop the pipeline that converts clinical standards into executable modules: parsing (document and layout models, OCR), transformation, validation
• Design and iterate on our target syntax for guideline logic
• Run experiments on open vs closed models, fine-tuning, and constrained decoding
• Co-design our benchmarks: datasets, metrics, and error analysis for clinical fidelity
• Work directly with the founders and the clinicians who validate your outputs

Skills

• 3+ years shipping ML or ML-adjacent systems to production
• Strong Python engineering (testing, modular design) and proficiency with a deep learning framework (PyTorch, Transformers)
• Extreme ownership of every step of your work
• Comfort going 0 to 1 on difficult problems in a small, fast-paced team
• Location: This role is remote, with offsites multiple times per year
• Work authorization: You must be eligible to work in the United States or Canada
• Graduate degree in CS, ML, Statistics, or a related field (PhD preferred, or equivalent research or industry experience)
• Applied research: publications or open-source work
• Interest in healthcare or safety-critical systems, and a personal reason to care
• Comfort working across the stack to carry research prototypes into production systems

Qualifications

Must Haves

• 3+ years shipping ML or ML-adjacent systems to production
• Strong Python engineering (testing, modular design) and proficiency with a deep learning framework (PyTorch, Transformers)
• Extreme ownership of every step of your work
• Comfort going 0 to 1 on difficult problems in a small, fast-paced team
• Location: This role is remote, with offsites multiple times per year
• Work authorization: You must be eligible to work in the United States or Canada

Nice to Haves

• Graduate degree in CS, ML, Statistics, or a related field (PhD preferred, or equivalent research or industry experience)
• Applied research: publications or open-source work
• Interest in healthcare or safety-critical systems, and a personal reason to care
• Comfort working across the stack to carry research prototypes into production systems

Benefits

• Remote work arrangement, with offsites multiple times per year.
• Health benefits.
• Dental benefits.
• Vision benefits.
• Flexible PTO.
• Paid parental leave.