Software Engineer

About the job

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. 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. Requirements: - Minimum 3+ years of overall experience as a Data Engineer, Data Scientist, or Software Engineer (data-focused). - Strong proficiency in Python for data engineering and data science workflows. - Demonstrable experience with data processing, analysis, and model-related workflows. - Solid understanding of machine learning and data science fundamentals. - Experience working with structured and unstructured data. - Ability to understand, navigate, and modify complex, real-world codebases. - Experience writing readable, reusable, maintainable, and well-documented code. - Strong problem-solving skills, including experience with algorithmic or data-intensive problems. - Excellent spoken and written English communication skills.

Requirements

• Data Engineering
• Data Science
• Python
• Machine Learning
• Data Processing

Qualifications

• Data Engineer
• Data Scientist
• Software Engineer

Preferred Technologies

• Data Engineering
• Data Science
• Python
• Machine Learning
• Data Processing

Benefits

• Work in a fully remote environment
• Opportunity to work on cutting-edge AI projects

About the company

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.