Staff Research Engineer - Frontier AI and Reinforcement Learning - US and Canada

What You'll Do7

• Probe what frontier models can and cannot do, how training shapes them, and which new approaches deserve a test, then turn those observations into research questions.
• Assemble research datasets, run experiments, and build prototypes, tooling and evaluation frameworks that hold up under scrutiny.
• Train, test and score models with modern ML frameworks, iterating from first hypothesis to validated insight.
• Judge results on data quality, reproducibility and evidence rather than intuition.
• Partner with Research, Engineering, Product and Operations teams to move findings into practical systems.
• Share outcomes through technical reports, publications, open-source work and research forums.
• Review peers' work, mentor engineers and researchers, and carry technical leadership across the group.

Requirements9

• Seven or more years of professional experience, including substantial research engineering work on machine learning or frontier AI systems.
• A PhD or master's degree in AI, machine learning, computer science or a closely related technical field, or research experience that meets that bar.
• Solid ML foundations plus hands-on work designing experiments, training or evaluating models, or building AI systems.
• Research depth in at least one area: synthetic or agentic data generation, reinforcement learning, post-training, model understanding, AI evaluation, benchmarks, or tool-using AI agents.
• Strong Python, with a record of implementing, testing and refining work in modern ML frameworks and tooling.
• Scientific judgment and reproducible methods, with real attention to data quality.
• Clear written and verbal communication, comfort working independently, and effective cross-functional collaboration.
• Experience mentoring engineers or researchers and providing technical leadership.
• Availability of at least 40 hours per week, 8 hours per day, with four hours of daily Pacific Time overlap for the length of the project.

Who Should Apply

Researchers with seven-plus years in machine learning who have run experimental work in reinforcement learning, post-training, agentic data or evaluation. You hold a graduate degree in a technical field and write strong Python, and you want a focused three-month project that turns findings into working systems.

Salary Insight