Machine Learning Research Engineer

What you'll do

• Build and improve a production pipeline that parses documents, transforms their content into executable modules, and checks the results.
• Run model experiments and develop datasets, metrics, adversarial tests, and error analyses to evaluate accuracy and faithfulness to source documents.
• Create rule-based automated checks using program analysis and logical reasoning tools, and work with founders and expert reviewers to validate outputs.

What they ask for

• Experience shipping machine learning or NLP systems to production.
• Background in language tooling, automated code generation, or rigorous verification techniques.
• Production-level Python, PyTorch, and Transformers skills; hands-on experience evaluating, training, or prompting large language models.
• Bachelor's degree or higher in a related technical field; authorization to work in the US or Canada.

Nice to have

• Experience at a leading AI research lab.
• PhD in a related field or prior work in a safety- and compliance-focused environment.

Pay

USD 250,000 to 400,000 per year (base salary)

Tools

Python, PyTorch, Transformers

AI focus

Experiments with modern language models and adaptation techniques; builds and evaluates systems that turn long-form documents into verifiable executable logic.