Member of Technical Staff, Compiler

About the Role

Join a clinical AI team building a production compiler that turns healthcare standards into structured, executable decision logic. This research-focused role combines rigorous experimentation with engineering, helping make clinical recommendations traceable, logically complete, and suitable for use in care settings.

What You'll Do

• Build pipeline components that parse clinical documents, transform their content, and validate executable modules.

• Design and refine a target syntax for representing guideline logic.

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

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

• Analyze model failures, form hypotheses, and run experiments that improve the production compiler.

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

• Collaborate with clinicians and technical leadership to validate system outputs and design decisions.

What We're Looking For

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

• A bachelor's degree or higher in computer science, machine learning, mathematics, or a related technical field.

• Experience shipping ML or NLP systems to production, with strong Python, PyTorch, and Transformers skills.

• Experience with LLM evaluation, training, or prompt engineering, and a habit of validating model outputs.

• Clear written communication about experiments, including failures and uncertainty, and comfort working across disciplines amid ambiguity.

• Experience in compilers, program synthesis, formal methods, static analysis, or related areas is valuable. Healthcare or other safety-critical experience, a relevant PhD, and knowledge of IR design, DSLs, SAT/SMT, FHIR, or HL7 v2 are also useful.

• Must be authorized to work in Canada or the United States. Periodic in-person offsites are expected.

Compensation & Benefits

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

Location

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