Senior Member of Technical Staff, Compiler

About the Role

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

What You'll Do

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

• Design and refine a target syntax for representing guideline logic, including exclusions, precedence, and recommendations.

• Run experiments across open and closed models, fine-tuning approaches, and constrained decoding methods.

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

• Work with clinicians and technical leaders to evaluate outputs and guide system design.

• Turn model failures into clear hypotheses and experiments, then ship effective improvements into production.

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

What We're Looking For

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

• Experience conducting frontier AI research or engineering, and shipping ML or NLP systems to production.

• Production-level Python, PyTorch, and Transformers experience, plus experience with LLM evaluation, training, or prompt engineering.

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

• Clear technical writing, including the ability to explain failed experiments and uncertainty.

• Experience with compilers, program synthesis, formal methods, static analysis, IR design, constraint solving, SAT/SMT, or DSLs is valuable.

• Healthcare, safety-critical, or regulated-domain experience and a relevant PhD are also valuable; familiarity with FHIR or HL7 v2 is useful.

• Comfort with ambiguity and cross-disciplinary collaboration, and willingness to attend in-person offsites several times per year.

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

Compensation & Benefits

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

Location

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