Machine Learning Research Engineer

New

RaydarHealthcare technology

Remote (US or Canada)Full-Time

SalaryBase salary: USD 250,000 to 400,000 per year; Equity

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Job Details

Have experience shipping machine learning or NLP systems to production, beyond research prototypes.
Have a background in language tooling, automated code generation, or rigorous verification techniques.
Bring production-level Python and PyTorch skills, along with experience in the Transformers ecosystem.
Have hands-on experience evaluating, training, or prompting large language models.
Be familiar with logical solvers, intermediate representation design, or domain-specific languages.
Hold a bachelor's degree or higher in computer science, machine learning, math, or a related technical field.
Communicate clearly in writing about failed experiments and uncertainty.
Be willing to attend in-person team offsites several times a year.

Build a production pipeline that converts long-form documents into executable modules, including parsing, transformation, and checking.
Iterate on the format used to express decision logic.
Run comparative experiments across model families and adaptation techniques, including output-format control.
Co-design datasets, metrics, and error analysis to measure accuracy and faithfulness to sources.
Create adversarial test cases to assess how well outputs match their sources and whether they are complete and correct.
Turn model failures into hypotheses, experiments, and stronger system design.
Write rule-based automated checks using program analysis and logical reasoning tools to expose unclear, conflicting, or missing information.
Work directly with founders and expert reviewers who validate the outputs.

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