Member of Technical Staff, Compiler

About the Role

Join a healthtech team building a production compiler that turns clinical standards into verified, traceable decision artifacts. This research-focused role combines rigorous experimentation with engineering work that directly supports clinical use.

What You'll Do

• Build pipelines that parse clinical standards and transform them into executable modules using document and layout models.
• Design and refine a target syntax for representing guideline logic.
• Compare open and closed models, fine-tuning approaches, and constrained decoding through structured experiments.
• Develop benchmarks, datasets, metrics, and adversarial cases to evaluate clinical fidelity and recommendation correctness.
• Analyze model failures and turn findings into hypotheses, experiments, and improvements to the production compiler.
• Create deterministic validators using static analysis, constraint solving, or formal methods to surface ambiguity, contradictions, and missing source evidence.
• Collaborate with clinicians and technical leadership to validate outputs and guide system design.

What We're Looking For

• At least 3 years of research or industry experience, or final-year PhD or postdoctoral experience.
• Experience shipping ML or NLP systems to production, including engineering work beyond research.
• A bachelor's degree or higher in computer science, machine learning, mathematics, or a related technical field.
• Production-level Python, PyTorch, and Transformers experience, plus experience with LLM evaluation, training, or prompt engineering.
• Ability to communicate failed experiments and uncertainty clearly, and to validate model outputs rather than assume they are correct.
• 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 beneficial.
• Comfort with ambiguity, cross-disciplinary collaboration, and attending in-person offsites several times per year.
• Must be authorized to work remotely 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, with the primary location in Canada. Candidates must be authorized to work remotely in the United States or Canada.