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.