Turing
Staff Research Engineer
$250K–$400K
United States +1 · Staff · Full-time · Posted Mar 9, 2026
- Location
- United States
San Francisco, California, 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, evaluate, and scale datasets, experiments, prototypes, and tools that improve AI models and real-world systems.
What you'll do
- Investigate frontier AI capabilities and develop research questions and approaches in data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
- Build and evaluate research datasets, experiments, prototypes, tools, and frameworks; train and assess models with rigorous, reproducible methods.
- Collaborate across teams to turn research findings into product improvements and communicate or share findings with the research community.
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 total pay (OTE) + Equity
AI focus
Research and engineering for frontier AI systems, including synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
Model-written summary · the original posting is authoritative