Staff Research Engineer, Enterprise Knowledge

Sourced from ihispano.com

Turing builds large-scale datasets and reinforcement learning environments that power post-training for the world's leading AI labs and enterprises. As a Staff Research Engineer on the Enterprise Knowledge team, you will advance the understanding of frontier AI systems through research in synthetic and agentic data generation, RL, post-training, model understanding, benchmarks, and evaluation. You will design rigorous experiments, build research-grade prototypes and tooling, and translate findings into scalable, real-world AI applications. This is an on-site role based in San Francisco, Palo Alto, or Seattle.

• Conduct research on frontier AI systems, investigating capabilities, limitations, and training methods | Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation | Build research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks | Train, test, and evaluate models using modern AI/ML tools and establish practices for experimental rigor, data quality, and reproducibility | Translate research findings into improvements for Turing's products, platforms, and AI capabilities | Communicate technical findings to specialized and cross-functional audiences and contribute to the broader AI research community

• PhD or Master's degree in AI, machine learning, computer science, or a closely related field (or exceptional equivalent research experience) | Strong foundation in machine learning with hands-on experience designing experiments and training or evaluating models | Demonstrated research experience in synthetic or agentic data generation, RL or post-training, AI understanding, evaluation, or benchmarks | Strong programming skills and the ability to implement, test, and iterate quickly in a research environment | Sound scientific judgment around experimental rigor, data quality, and evidence-based decision-making | Clear written and verbal communication and effective cross-team collaboration