About the Role

Join a healthtech team building a compiler that converts clinical standards into verified, traceable decision logic for use in patient care. This research-focused role combines experiments with frontier models and production engineering, with a direct impact on clinical decision support.

What You'll Do

Build and improve pipelines that parse clinical documents and transform their contents into validated, executable modules.
Design and refine representations for guideline logic, including exclusions, precedence, and recommendations.
Run experiments across open and closed models, fine-tuning approaches, and constrained decoding methods.
Develop benchmarks, datasets, metrics, and adversarial cases to assess clinical fidelity, logical completeness, and recommendation correctness.
Work with clinicians to evaluate outputs and turn model failures into hypotheses, experiments, and system improvements.
Build deterministic validators using static analysis, constraint solving, or formal methods to surface ambiguity, contradiction, and missing source support.

What We're Looking For

At least 3 years of relevant research or industry experience, or final-year PhD or postdoctoral experience.
Production experience shipping ML or NLP systems, beyond research prototypes.
A bachelor's degree or higher in computer science, machine learning, mathematics, or a related technical field.
Production-level Python, PyTorch, and Transformers ecosystem skills, plus experience evaluating, training, or prompting LLMs.
Clear written communication about failed experiments, uncertainty, and evidence; a habit of validating plausible model outputs.
Experience in a frontier AI lab, and authorization to work remotely in Canada or the United States. Visa sponsorship is not available.
Compiler, program synthesis, formal methods, static analysis, IR, constraint solving, SAT/SMT, or DSL experience is valuable, as is work in healthcare or another safety-critical or regulated domain.
Comfort working across disciplines and with ambiguity, and willingness to attend in-person offsites multiple times per year.

Compensation & Benefits

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

Location

Remote, with the primary location in Canada. Candidates authorized to work remotely in Canada or the United States may be considered.

Similar jobs

SerpApi