Senior Research Engineer

What you'll do

• Investigate frontier AI capabilities and methods, including synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
• Build, train, test, and evaluate research datasets, models, prototypes, tooling, and evaluation frameworks with rigorous, reproducible practices.
• Collaborate across research, engineering, product, and operations to apply findings and communicate or share research outcomes.

What they ask for

• PhD or Master’s degree in AI, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience considered.
• Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and using modern AI tooling.
• Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks.
• Strong programming skills and sound judgment about experimental rigor, data quality, reproducibility, and evidence-based decisions.

Pay

$250,000 to $350,000 OTE (total pay)

AI focus

Frontier AI research and development involving datasets, reinforcement learning environments, synthetic and agentic data generation, post-training, model evaluation, benchmarks, and agentic systems.