Member of Technical Staff, Compiler

New

Remote in Canada or the United States.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

Have at least 3 years of research or industry experience, or final-year PhD or postdoctoral experience.
Have production engineering experience beyond research roles.
Have experience shipping ML or NLP systems to production.
Bring production-level Python, PyTorch, and Transformers skills.
Have experience with LLM evaluation, training, or prompt engineering, and a track record of validating model outputs.
Hold a bachelor's degree or higher in computer science, machine learning, mathematics, or a related technical field.
Have clear technical writing skills, including the ability to explain failed experiments and uncertainty.
Be comfortable working across disciplines and with ambiguity.
Be willing to attend in-person offsites several times per year.
Experience with compilers, program synthesis, formal methods, static analysis, IR design, constraint solving, SAT/SMT, or domain-specific languages is valuable.
Healthcare, safety-critical, or regulated-domain experience is valuable; familiarity with FHIR or HL7 v2 is relevant.

Build production pipelines that parse clinical standards and transform them into validated executable modules.
Design and refine a target syntax for representing guideline logic.
Run experiments with open and closed models, fine-tuning, and constrained decoding.
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 identify ambiguity, contradictions, and gaps in source material.
Collaborate with clinicians and technical leadership to validate system outputs.

View Full Description & ApplyYou'll be redirected to the employer's site