Senior Member of Technical Staff, Compiler

About the Role

Join a clinical AI team building a compiler that turns healthcare standards into verified, executable decision logic. This research-focused role combines experimentation with production engineering to make clinical recommendations traceable, complete, and safe to inspect.

What You'll Do

• Build pipelines that parse clinical documents and transform their content into validated executable modules.

• Design and refine a target representation for clinical guideline logic.

• Compare open and closed models, fine-tuning approaches, and constrained decoding strategies.

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

• Analyze model failures and turn them into experiments and improvements to production systems.

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

• Collaborate with clinicians and technical leaders to validate system outputs.

What We're Looking For

• At least 3 years of research or industry experience, or current status as a final-year PhD student or postdoctoral researcher.

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

• Experience with LLM evaluation, training, or prompt engineering, and the ability to clearly document failed experiments and uncertainty.

• Experience in a frontier AI research environment, plus a bachelor's degree or higher in computer science, machine learning, mathematics, or a related technical field.

• Background in compilers, program synthesis, formal methods, or static analysis is valuable; healthcare or other regulated-domain experience is also useful.

• Knowledge of intermediate representations, constraint solving, SAT/SMT, or domain-specific languages is beneficial.

• Authorized to work in Canada or the United States, comfortable with ambiguity and cross-disciplinary work, and available for periodic in-person offsites.

Compensation & Benefits

Salary range: $250,000 to $400,000 USD annually. Visa sponsorship is not available.

Location

Remote, with the primary location in Canada. Candidates may also work remotely from the United States.