Member of Technical Staff, Compiler
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Job Description
Clinical AI researcher building a deterministic, evidence-traceable compiler for Canadian healthcare standards. Developing model pipelines, formal validators, and executable clinical decision logic.
Responsibilities:
- Study how far frontier models can be pushed in extracting, structuring and proving clinical logic
- Design experiments to determine what works
- Ship the winning approach into the clinical compiler
- Build the pipeline converting clinical standards into executable modules using parsing, document and layout models, transformation, and validation
- Design and iterate the target syntax/representation for guideline logic, including exclusions, precedence, and recommendations
- Run experiments involving open versus closed models, fine-tuning, and constrained decoding
- Co-design benchmarks and adversarial cases measuring source fidelity, logical completeness, and recommendation correctness
- Perform error analysis
- Develop deterministic validators using static analysis, constraint solving, or formal methods to surface ambiguity, contradiction, and source silence
- Work directly with founders and clinicians who validate outputs
- Turn model failures into hypotheses and improved system design
Requirements:
- 3+ years of research or industry experience, or final-year PhD / postdoc
- Published in clinical AI (strongly preferred)
- Python
- PyTorch
- Transformers/LLMs
- Static analysis
- SMT/SAT solvers
- FHIR / HL7 v2 a plus
- Based in the US or Canada
- US citizen/Green Card
- Visa sponsorship is not offered, with possible exceptions for frontier-lab employees
Benefits:
- Competitive equity (up to 5% for a frontier-lab candidate, from a 15% pool; cash/equity ratio flexible)
- Health insurance
- Dental insurance
- Vision insurance
- Flexible PTO
- Paid parental leave
- Company offsites several times a year
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