Member of Technical Staff, Compiler

About the Role

Join a healthtech team building a production compiler that turns clinical standards into executable, traceable decision logic. This research-focused role combines experimentation with frontier models and production engineering to improve the reliability and inspectability of clinical decision systems.

What You'll Do

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

• Design and refine a representation for guideline logic, including exclusions, precedence, and recommendations.

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

• Develop benchmarks, datasets, metrics, and adversarial cases to assess clinical fidelity and logical completeness.

• Analyze model errors, turn findings into experiments, and ship successful improvements into production.

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

• Collaborate with clinicians and technical teammates to validate outputs and improve the compiler.

What We're Looking For

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

• Experience shipping ML or NLP systems to production and validating model outputs rather than assuming they are correct.

• 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.

• Clear technical writing about failed experiments, uncertainty, and results.

• Experience in compilers, program synthesis, formal methods, static analysis, IR design, constraint solving, SAT/SMT, or DSLs is valuable.

• Healthcare, safety-critical, or regulated-domain experience is valuable, as is familiarity with FHIR or HL7 v2.

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

Compensation & Benefits

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

Location

Remote, based in Canada. Remote candidates in the United States may also be considered.