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Develop and maintain a production compiler that transforms clinical standards into verified, traceable decision artifacts. Collaborate with clinicians and technical leadership to design system architecture and validate model outputs for clinical fidelity.
Join a healthtech team building a production compiler that turns clinical standards into verified, traceable decision artifacts. This research-focused role combines rigorous experimentation with engineering work that directly supports clinical use.
Build pipelines that parse clinical standards and transform them into executable modules using document and layout models.
Design and refine a target syntax for representing guideline logic.
Compare open and closed models, fine-tuning approaches, and constrained decoding through structured experiments.
Develop benchmarks, datasets, metrics, and adversarial cases to evaluate clinical fidelity and recommendation correctness.
Analyze model failures and turn findings into hypotheses, experiments, and improvements to the production compiler.
Create deterministic validators using static analysis, constraint solving, or formal methods to surface ambiguity, contradictions, and missing source evidence.
Collaborate with clinicians and technical leadership to validate outputs and guide system design.
At least 3 years of research or industry experience, or final-year PhD or postdoctoral experience.
Experience shipping ML or NLP systems to production, including engineering work beyond research.
A bachelor's degree or higher in computer science, machine learning, mathematics, or a related technical field.
Production-level Python, PyTorch, and Transformers experience, plus experience with LLM evaluation, training, or prompt engineering.
Ability to communicate failed experiments and uncertainty clearly, and to validate model outputs rather than assume they are correct.
Experience with compilers, program synthesis, formal methods, static analysis, IR design, constraint solving, SAT/SMT, or DSLs is valuable.
Healthcare, safety-critical, or regulated-domain experience and a relevant PhD are beneficial.
Comfort with ambiguity, cross-disciplinary collaboration, and attending in-person offsites several times per year.
Must be authorized to work remotely in the United States or Canada. Visa sponsorship is not available.
Base salary: $250,000 to $400,000 USD annually. Equity details were not provided.
Remote, with the primary location in Canada. Candidates must be authorized to work remotely in the United States or Canada.
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