SWE Bench – Data Engineer/Data Scientist

Explore this ai & data opportunity. The information below summarizes the supplied role details; check the application page for the latest requirements and availability.

Role highlights & qualifications

• ML/Data Engineering
• Data EngineeringData Science
• Seeking 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.
• 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.

Information is summarized from the supplied job posting. Please verify location eligibility, compensation, contractual terms and current availability on the application page.