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
We are looking for experienced Software Engineers (SWE Bench – Data Engineer / Data Science) to contribute to benchmark-driven evaluation projects focused on real-world data engineering and data science workflows. This role involves hands-on work with production-like datasets, data pipelines, and data science tasks to help evaluate and improve the performance of advanced AI systems.
The ideal candidate has strong foundations in data engineering and data science, with the ability to work across data preparation, analysis, and model-related workflows in real-world codebases.
What does day-to-day life look like?
- Work with structured and unstructured datasets to support SWE Bench-style evaluation tasks.
- Design, build, and validate data pipelines used in benchmarking and evaluation workflows.
- Perform data processing, analysis, feature preparation, and validation for data science use cases.
- Write, run, and modify Python code to process data and support experiments locally.
- Evaluate data quality, transformations, and outputs for correctness and reproducibility.
- Create clean, well-documented, and reusable data workflows suitable for benchmarking.
- Participate in code reviews to ensure high standards of code quality and maintainability.
- Collaborate with researchers and engineers to design challenging, real-world data engineering and data science tasks for AI systems.