Member of Technical Staff, Compiler
True Talent Solutions Partners · Remote
Strong hiring record · median 1 days open
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In its favour
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About the Role
Join a health technology team building a production compiler that turns clinical standards into executable, verifiable decision logic. This research-focused role combines rigorous experimentation with production engineering to improve the reliability and traceability of clinical AI.
What You'll Do
- Build a pipeline to 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 techniques.
- Develop benchmarks, datasets, metrics, and adversarial cases to assess clinical fidelity and recommendation correctness.
- Analyze model errors and turn findings into experiments and improvements to the production compiler.
- Build deterministic validators using static analysis, constraint solving, or formal methods to expose ambiguity, contradiction, and missing source guidance.
- Collaborate with clinicians and technical leaders to validate outputs and ensure traceability to source material.
What We're Looking For
- At least 3 years of research or industry experience, or final-year PhD or postdoctoral experience.
- A bachelor's degree or higher in computer science, machine learning, mathematics, or a related technical field.
- Production experience shipping ML or NLP systems, including engineering work beyond research roles.
- Strong Python, PyTorch, and Transformers ecosystem skills, with experience in LLM evaluation, training, or prompt engineering.
- Experience validating model outputs and communicating failed experiments and uncertainty clearly in writing.
- Background in a frontier AI lab and authorization to work remotely in the United States or Canada.
- Compiler, program synthesis, formal methods, static analysis, IR, DSL, SAT/SMT, healthcare, or other regulated-domain experience is valuable.
- Comfort working across disciplines and attending 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 must be authorized to work in Canada or the United States.
Skills
- Machine Learning
- NLP
- Python
- PyTorch
- Hugging Face Transformers
- LLM
- Prompt Engineering
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