Member of Technical Staff, Compiler

About the Role

Join a clinical AI team building a compiler that turns healthcare standards into validated, executable decision logic. This research-focused engineering role combines model experimentation with production delivery, helping make clinical recommendations more traceable and reliable.

What You'll Do

• Build pipelines that parse clinical standards and transform them into executable modules using document and layout models.

• Design and refine the target syntax used to represent guideline logic.

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

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

• Analyze model failures, turn findings into experiments, and improve the production compiler.

• Build deterministic validators using static analysis, constraint solving, or formal methods to surface ambiguity, contradictions, and missing source guidance.

• Collaborate with clinicians and technical teammates to validate outputs and clarify exclusions, precedence, and recommendations.

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.

• Hands-on experience with LLM evaluation, training, or prompt engineering, and experience working in a frontier AI lab.

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

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

• Healthcare, safety-critical, or regulated-domain experience is helpful. Clear written communication about failed experiments and uncertainty is important.

• Must be authorized to work in the United States or Canada. The role includes in-person team offsites several times per year and requires comfort with ambiguity and cross-disciplinary collaboration.

Compensation & Benefits

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

Location

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