Turing
Staff Research Engineer, Frontier Data
$250K–$400K
United States +3 · Staff · Full-time · Posted Sep 24, 2026
- Location
- United States
Palo Alto, California, United States
San Francisco, California, United States
Seattle, Washington, United States - Education
- PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered.
About the job
Conduct frontier AI research and build datasets, reinforcement-learning environments, experiments, and evaluation systems that improve AI models and translate research findings into practical products.
What you'll do
- Investigate frontier AI capabilities and develop research questions, methods, and experiments.
- Build and evaluate datasets, prototypes, tooling, models, and evaluation frameworks with rigorous, reproducible practices.
- Collaborate across teams to apply research findings and share results through reports, publications, or open-source work.
What they ask for
- 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 ability to implement, test, and iterate in a research environment.
- Sound experimental judgment, clear communication, and ability to collaborate across research and engineering teams.
Pay
$250,000 to $400,000 USD OTE (total pay)
Tools
reinforcement learning, MCP
AI focus
Research and engineering for frontier AI, including synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
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