Physics Specialist

About this role

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L Role Overview The Scientific Reasoning & Discovery Engineer is responsible for creating high-quality reasoning datasets that evaluate and enhance the scientific reasoning capabilities of Large Language Models (LLMs). This role focuses on designing data-driven scientific discovery tasks that require models to analyze experimental or simulated observations, identify patterns, infer governing laws, estimate parameters, and predict outcomes. The ideal candidate possesses strong expertise in scientific methodology, quantitative analysis, and mathematical modeling, with the ability to develop rigorous, reproducible, and logically consistent evaluation tasks. What does day-to-day look like Designed scientific reasoning scenarios using experimental, observational, or simulated datasets. Authored multi-step tasks requiring data analysis, pattern recognition, parameter estimation, and predictive reasoning. Developed evaluation problems focused on law discovery, model selection, consistency checking, and hypothesis validation. Created reference solutions, deterministic answers, and detailed scoring rubrics for model assessment. Collaborated with reviewers and LLM engineers to ensure scientific accuracy, clarity, and reproducibility across datasets. Required Qualifications Demonstrated 3+ years of experience in physi