Member of Technical Staff, Compiler
New
T
True Talent Solutions PartnersHealthtech, clinical decision logic
Remote, with the primary location in Canada. The role is open to candidates authorized to work in Canada or the United States.Full-TimeMiddle
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
- PythonPyTorchPrompt Engineering
Requirements
- Have at least 3 years of research or industry experience, or final-year PhD or postdoctoral experience.
- Have experience shipping production engineering work and ML or NLP systems.
- Hold a bachelor's degree or higher in computer science, machine learning, mathematics, or a related technical field.
- Have production-level experience with Python, PyTorch, and the Transformers ecosystem.
- Have experience in LLM evaluation, training, or prompt engineering.
- Communicate failed experiments and uncertainty clearly, and validate model outputs rather than assume they are correct.
- Be comfortable working across disciplines in an ambiguous environment and willing to attend in-person offsites several times per year.
- Experience in compilers, program synthesis, formal methods, static analysis, healthcare, or another regulated or safety-critical domain is relevant.
- Knowledge of intermediate representations, constraint solving, SAT/SMT, domain-specific languages, FHIR, or HL7 v2 is useful.
Responsibilities
- Build pipelines to parse clinical documents and transform their content into validated executable modules.
- Design and refine a target representation for clinical 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 logical completeness.
- Analyze model errors and use findings to guide experiments and improve the production compiler.
- Build deterministic validators using static analysis, constraint solving, or formal methods to surface ambiguity, contradictions, and missing source information.
- Collaborate with clinicians and company leadership to validate system outputs and guide development.
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