Member of Technical Staff, Compiler

About the Role

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

What You'll Do

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

• Design and refine a target representation for clinical guideline logic, including rules, exclusions, precedence, and recommendations.

• Compare open and closed models, fine-tuning approaches, and constrained decoding through carefully designed experiments.

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

• Collaborate with clinicians and technical colleagues to turn model failures into hypotheses, experiments, and system improvements.

• Develop deterministic validators using static analysis, constraint solving, or formal methods to make ambiguity, contradiction, and gaps in source material explicit.

What We're Looking For

• At least 3 years of research or industry experience, or final-year PhD or postdoctoral experience, with production engineering work beyond research roles.

• Experience shipping ML or NLP systems to production and validating model outputs rather than assuming plausible outputs are correct.

• Production-level experience with Python, PyTorch, and the Transformers ecosystem, 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 about failed experiments, uncertainty, and results, along with comfort working across disciplines in ambiguous settings.

• 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, as is a PhD in a relevant technical field.

• Authorization to work remotely in the United States or Canada, and willingness to attend in-person offsites several times per year.

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 must be authorized to work in the United States or Canada.