[Hiring] Senior Member of Technical Staff, Compiler @True Talent Solutions Partners

Role Description

Join a clinical AI team building a compiler that turns healthcare standards into structured, executable decision logic. This research role has production impact, combining rigorous experimentation with engineering systems used in clinical settings.

What You'll Do

• Build pipelines that parse clinical standards and transform them into validated, executable modules.
• Design and refine a target syntax for representing guideline logic.
• Evaluate open and closed models, fine-tuning approaches, and constrained decoding strategies.
• Develop benchmarks, datasets, metrics, and adversarial cases to measure clinical fidelity and logical completeness.
• Analyze model failures, form hypotheses, and run experiments that improve the production compiler.
• Create deterministic validators using static analysis, constraint solving, or formal methods to identify ambiguity and contradiction.
• Collaborate with clinicians and technical colleagues on requirements and validation.

Qualifications

• At least 3 years of research or industry experience, or current status as a final-year PhD student or postdoctoral researcher.
• A bachelor's degree or higher in computer science, machine learning, mathematics, or a related technical field.
• Production engineering experience, including shipping ML or NLP systems to production.
• Strong production-level Python, PyTorch, and Transformers ecosystem skills, plus experience with LLM evaluation, training, or prompt engineering.
• Experience validating model outputs, communicating failed experiments clearly, and working through ambiguity with cross-disciplinary teams.
• Interest or experience in compilers, program synthesis, formal methods, static analysis, IR design, constraint solving, SAT/SMT, or DSLs.
• Healthcare, safety-critical, or regulated-domain experience is valuable; familiarity with FHIR or HL7 v2 is also relevant.
• Authorization to work in the United States or Canada and willingness to attend in-person offsites several times per year.

Benefits

• Base salary: $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.