Staff Research Scientist

The role

Research Scientists will develop new ways to evaluate, train, and improve frontier AI systems. This research-first role involves identifying gaps in literature, proposing research directions, and conducting experiments in areas like synthetic data, hallucination, and agentic science.

What you will do

• Identify high-impact gaps in existing benchmark and evaluation literature.
• Design novel benchmarks in and across STEM fields and on general model functionality.
• Develop evaluations for emerging model capabilities.
• Design rigorous task-generation, grading, contamination-control, difficulty-calibration, and validation methodologies.
• Develop methods for generating high-quality synthetic STEM training data.
• Study how task selection, difficulty, diversity, verification, filtering, and data quality affect downstream performance.
• Explore methods for generating useful training signal in domains where expert human data is scarce or expensive.
• Design experiments that determine when synthetic data improves capabilities.
• Study hallucination, uncertainty, calibration, and epistemic failure in technical domains.
• Develop evaluations and methods for improving factual reliability, self-correction, verification, citation, and appropriate abstention.

Required qualifications

• PhD or equivalent research experience in machine learning, computer science, mathematics, physics, chemistry, biology, engineering, statistics, or another highly technical field.
• Demonstrated ability to formulate and execute original research.
• Strong understanding of modern LLMs and the frontier AI research landscape.
• Excellent experimental design, quantitative reasoning, and scientific judgment.
• Ability to rapidly understand unfamiliar technical literature and develop expertise in new areas.
• Strong Python skills.
• Ability to independently build research prototypes and evaluation pipelines.
• Excellent technical writing and communication.
• Comfort working in a fast-moving environment where the research agenda evolves with the frontier.

Nice to have

• A strong publication record is valuable

Benefits

• Work directly with leading AI labs and enterprises
• Build datasets and environments that directly improve the capabilities of advanced AI systems
• Help advance coding agents ability to understand, plan, and execute complex software-engineering tasks
• Apply frontier AI innovations to high-value enterprise workflows
• Operate with high autonomy, rapid iteration, and meaningful commercial impact
• Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies
• Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS

About the company

Turing's mission is to accelerate superintelligence to drive real economic progress. The company works with frontier AI labs and Fortune 500 enterprises to build and deploy agentic AI systems.