Senior Member of Technical Staff, Compiler

About the Role

Join a clinical AI team building a compiler that turns healthcare standards into executable, verifiable decision logic. This research-focused role has production impact, combining experiments with frontier models and engineering systems that make clinical recommendations traceable and inspectable.

What You'll Do

• Build pipeline components for parsing clinical documents, transforming their content, and validating executable modules.

• Design and iterate on representations for guideline logic, including exclusions, precedence, and recommendations.

• Run experiments with open and closed models, fine-tuning, and constrained decoding.

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

• Work with clinicians to investigate model failures and improve the production compiler.

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

What We're Looking For

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

• Production experience shipping ML or NLP systems, with strong Python, PyTorch, and Transformers skills.

• Experience with LLM evaluation, training, or prompt engineering, and clear written communication about experiments and uncertainty.

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

• Experience in compiler design, program synthesis, formal methods, or static analysis is valuable, as is work in healthcare or another regulated or safety-critical field.

• Familiarity with IR design, constraint solving, SAT/SMT, DSLs, FHIR, or HL7 v2 is useful.

• Comfort with ambiguity and cross-disciplinary collaboration, and availability for in-person team offsites several times per year.

• Must already be authorized to work in the United States or Canada.

Compensation & Benefits

Annual salary range: USD $250,000 to $400,000. Visa sponsorship is not available.

Location

Remote role, with a primary location in Canada. In-person team offsites take place several times per year.