Member of Technical Staff, Compiler

New
Remote, with the primary location in Canada. Candidates may also work remotely from the United States.Full-TimeStaff
Salary250,000 - 400,000 USD per year
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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.
  • Have production-level Python, PyTorch, and Transformers skills.
  • Have experience with LLM evaluation, training, or prompt engineering.
  • Communicate failed experiments and uncertainty using a clear, evidence-based approach.
  • Hold a bachelor's degree or higher in computer science, machine learning, mathematics, or a related technical field.
  • Experience at a frontier AI lab is valued.
  • Familiarity 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 is beneficial.
  • Be willing to attend in-person offsites several times per year.

Responsibilities

  • Build and improve a pipeline for parsing clinical standards, transforming their content, and validating executable modules.
  • Design and refine a representation for guideline logic, including exclusions, precedence, and recommendations.
  • Compare open and closed models, fine-tuning approaches, and constrained decoding through experiments.
  • Develop benchmarks, datasets, metrics, and adversarial cases to assess source fidelity, logical completeness, and recommendation correctness.
  • Work with clinicians and technical leaders to investigate model failures and improve the production system.
  • Develop deterministic validators using static analysis, constraint solving, or formal methods to surface ambiguity and contradiction.
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250,000 - 400,000 USD per year
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