Member of Technical Staff, Compiler

About the Role

Join a healthtech team developing a compiler that turns clinical standards into executable, traceable decision logic used in public healthcare. This research-focused role has production impact, combining experiments with frontier models and engineering work to improve clinical accuracy and reliability.

What You'll Do

• Build and improve pipelines that parse clinical documents and transform standards into validated executable modules.

• Design and iterate on a target syntax for representing guideline logic.

• Evaluate open and closed models, fine-tuning approaches, and constrained decoding strategies.

• Develop benchmarks, datasets, metrics, and adversarial cases to assess clinical fidelity and recommendation correctness.

• Analyze model errors and turn findings into experiments and improvements to the production compiler.

• Create deterministic validators using static analysis, constraint solving, or formal methods to surface ambiguity and contradictions.

• Collaborate with clinicians and technical leaders to validate system outputs and clarify clinical logic.

What We're Looking For

• At least 3 years of research or industry experience, or final-year PhD or postdoctoral experience, with a track record of production engineering beyond research work.

• Experience shipping ML or NLP systems to production and 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.

• Strong written communication, including the ability to explain failed experiments and uncertainty clearly.

• Experience validating model outputs rather than assuming plausible outputs are correct.

• Compiler, program synthesis, formal methods, static analysis, IR, constraint solving, SAT/SMT, or DSL experience is useful.

• Healthcare, safety-critical, or regulated-domain experience and familiarity with FHIR or HL7 v2 are useful.

• Comfort working across disciplines and with ambiguity, and willingness to attend in-person offsites several times per year.

• Must be authorized to work in the United States or Canada. Visa sponsorship is not available.

Compensation & Benefits

Base salary is $250,000 to $400,000 USD annually. Visa sponsorship is not available.

Location

Remote, with the primary location in Canada. Candidates must be authorized to work in Canada or the United States.