AI Benchmark & Datasets Engineer/ Researcher Internship

Pathway builds the first post-transformer frontier model that solves AI's fundamental memory problem. The company is seeking an AI Benchmark & Dataset Engineering intern to support the definition and execution of benchmarking processes for model evaluation.

Requirements

• Proactively identify, prioritize, and curate relevant public and client-driven benchmarks
• Evaluate candidate benchmarks for clarity, data quality, evaluation methodology, and fit with our model roadmap
• Run benchmarks with baseline models to validate setup, uncover edge cases, and de-risk R&D runs
• Hand off “benchmark-ready” packages to R&D (specs, data, evaluation scripts, expected metrics, constraints)
• Maintain a shared vocabulary and documentation around benchmarks, datasets, and evaluation formats that GTM and R&D can both use.
• Track and organize benchmark results, model leaderboards, and “what good looks like” for different customers and scenarios.
• Contribute to demos and public-facing proof points based on benchmark outcomes.

Benefits

• Competitive salary
• Opportunity to work with a cutting-edge AI project
• Collaborative and intellectually stimulating work environment