Turing
Senior Research Engineer, Frontier Data
$250K–$350K
United States +3 · Senior · 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
Research and engineer datasets, reinforcement-learning environments, experiments, and evaluation systems to understand and improve frontier AI models and turn findings into practical products.
What you'll do
- Investigate frontier AI capabilities and develop research approaches in data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
- Build and evaluate research datasets, prototypes, tools, experiments, and frameworks; train and test models and interpret results rigorously.
- Collaborate across teams to apply research findings to scalable products and communicate or share findings with the research community.
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 machine-learning foundation 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 rigor, data quality, reproducibility, and evidence-based decisions.
Nice to have
Pay
$250,000 to $350,000 OTE + Equity
AI focus
Frontier AI research and engineering, including synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
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