Senior ML Systems Engineer - Healthcare AI Compiler (Remote)

Compiled Health; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health benefits

Dental benefits

Vision benefits

Flexible PTO

Parental leave

Job summary

Compiled Health, a clinical AI research company, is seeking a research engineer to study how frontier models can extract, structure, and prove clinical logic with production stakes. You will design experiments and ship winning approaches into the pipeline that clinicians rely on in real clinics.

Work is remote with offsites a few times per year; collaboration with founders and clinicians ensures outputs meet regulatory and clinical expectations.

Qualifications

• 3+ years shipping ML or ML-adjacent systems to production.
• Graduate degree in CS, ML, Statistics, or related field (PhD preferred).
• Strong Python engineering and proficiency with a deep learning framework (PyTorch, Transformers).
• Extreme ownership of every step of your work.

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.

Skills

ML systems

Python

PyTorch

Transformers

Education

Graduate degree in CS/ML/Statistics

Tools

Transformers

PyTorch

Job description

Compiled Health, a clinical AI research company, is seeking a research engineer to study how frontier models can extract, structure, and prove clinical logic with production stakes. You will design experiments and ship winning approaches into the pipeline that clinicians rely on in real clinics.

Work is remote with offsites a few times per year; collaboration with founders and clinicians ensures outputs meet regulatory and clinical expectations.