Member of Technical Staff, Compiler
New
T
True Talent Solutions PartnersHealthtech, clinical AI
Remote role based in Canada, with candidates in the United States also considered.Full-TimeStaff
Salary250,000 - 400,000 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- At least 3 years of research or industry experience, or final-year PhD or postdoctoral experience.
- Required Skills
- PythonMachine LearningPyTorchNLPPrompt Engineering
Requirements
- Have at least 3 years of research or industry experience, or final-year PhD or postdoctoral experience.
- Have experience shipping ML or NLP systems to production, in addition to research work.
- Hold a bachelor's degree or higher in computer science, machine learning, mathematics, or a related technical field.
- Bring production-level Python, PyTorch, and Transformers experience.
- Have experience with LLM evaluation, training, or prompt engineering.
- Communicate clearly in writing about failed experiments and uncertainty.
- Have a track record of validating model outputs rather than assuming they are correct.
- Experience in compilers, program synthesis, formal methods, static analysis, or a regulated or safety-critical domain is valuable.
- Knowledge of intermediate representation design, constraint solving, SAT/SMT, or domain-specific languages is a plus.
- Be comfortable collaborating across disciplines, working through ambiguity, and attending in-person offsites several times per year.
Responsibilities
- Build a pipeline to parse clinical standards, transform their content, and validate executable modules.
- Design and refine a target syntax for representing guideline logic.
- Evaluate open and closed models, fine-tuning approaches, and constrained decoding techniques.
- Develop benchmarks, metrics, and adversarial cases for source fidelity, logical completeness, and recommendation correctness.
- Analyze model failures and turn them into research hypotheses, experiments, and improvements to the production compiler.
- Develop deterministic validators using static analysis, constraint solving, or formal methods to identify ambiguity, contradiction, and missing source information.
- Collaborate with clinicians and technical teammates to validate clinical logic and system outputs.
View Full Description & ApplyYou'll be redirected to the employer's site
