Member of Technical Staff, Compiler

About the Role

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

What You'll Do

• Build a pipeline that parses clinical documents, transforms their content, and validates executable modules.
• Design and refine 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 for clinical fidelity and recommendation correctness.
• Analyze model errors and turn findings into experiments and improvements to the production compiler.
• Work with clinicians and technical leaders to make exclusions, precedence, recommendations, and source evidence explicit.
• Build deterministic validators using static analysis, constraint solving, or formal methods to identify ambiguity, contradictions, and missing source evidence.

What We're Looking For

• At least 3 years of research or industry experience, or current final-year PhD or postdoctoral experience.
• Production experience shipping ML or NLP systems, beyond research prototypes.
• A bachelor's degree or higher in computer science, machine learning, mathematics, or a related technical field.
• Production-level Python, PyTorch, and Transformers ecosystem skills, plus experience with LLM evaluation, training, or prompt engineering.
• Ability to clearly document failed experiments, uncertainty, and model limitations, and to validate plausible outputs rather than assume they are correct.
• Experience with compilers, program synthesis, formal methods, static analysis, intermediate representations, constraint solving, SAT/SMT, or domain-specific languages is valuable.
• Healthcare, safety-critical, or regulated-domain experience is valuable. Familiarity with FHIR or HL7 v2 is also useful.
• Comfort working across disciplines and with ambiguity, and willingness to attend in-person offsites multiple times per year.
• Must be authorized to work in the United States or Canada. Visa sponsorship is not available.

Compensation & Benefits

Base salary

$250,000 to $400,000 USD annually. Equity details were not provided.

Location

Remote in Canada or the United States.

Primary location

Canada.