AI Benchmark & Datasets Engineer/ Researcher Internship

About Pathway Pathway builds the first post-transformer frontier model that solves AI's fundamental memory problem. While transformers wake up in the same state every time—like Groundhog Day—our architecture enables true continuous learning, infinite context reasoning, and real-time adaptation. We're not optimizing yesterday's technology; we're building what comes after transformers. Our breakthrough architecture outperforms Transformer and provides the enterprise with full visibility into how the model works. Combining the foundational model with the fastest data processing engine on the market, Pathway enables enterprises to move beyond incremental optimization and toward truly contextualized, experience-driven intelligence. We are trusted by organizations such as NATO, La Poste, and Formula 1 racing teams. Pathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team consisting of AI pioneers, including CTO Jan Chorowski who was the first person to apply Attention to speech and worked with Nobel laureate Geoff Hinton at Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20. The company is backed by leading investors and advisors, including Lukasz Kaiser, co-author of the Transformer (“the T” in ChatGPT) and a key researcher behind OpenAI’s reasoning models. Pathway is headquartered in Palo Alto, California. The Opportunity We are currently seeking AI Benchmark & Dataset Engineering interns to support the definition and execution of benchmarking processes for model evaluation. You Will Proactively identify, prioritize, and curate relevant public and client-driven benchmarks across our target use cases and markets. 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. You will play a key role in defining and driving the benchmarking process for AI model evaluation. Your work will directly influence what we build, how we talk about it, and how customers and the market experience BDH. Cover letter It's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that. You are expected to meet at least one of the following criteria: You were an ICPC World Finalist, or an IOI, IMO, IOAI or IPhO medalist in High School. You have published a research paper at an A-rated or A*-rated venue (according to ICORE). You have completed coding projects - ideally with a GitHub repository showcasing previous work. You were an intern at a leading Machine Learning research center (e.g. at: Google Brain / Deepmind, Apple, Meta, Anthropic, Nvidia, MILA). You can get a warm recommendation from you university faculty member. You Have experience with ML/LLM evaluation , data science, or technical product roles, ideally around benchmarks or experimentation. Are comfortable reading papers , leaderboards , and Github repos, and turning them into clear, repeatable benchmark specs. Can talk comfortably with both engineers and customers, and translate between technical detail and business value . Care about high‑quality data , reproducible experiments , and crisp documentation . Are respectful of others. Are fluent in English. Why You Should Apply Join an intellectually stimulating work environment. During your internship, you will collaborate on a cutting edge research project . Be a pioneer: you get to work with a new type of "Live AI" challenges. Be part of one of an early-stage AI startup that believes in impactful research and foundational changes. Further details Preferable joining date : July 2026. The positions are open until filled – please apply immediately. Duration : 3-6 months Compensation : based on profile and location. Location : Hybrid - regular presence in our office in Palo Alto, CA is required. Possibility to work or meet with other team members in one of our other offices: Paris, France or Wroclaw, Poland. As a general rule, permanent residence will be required in the EU, UK, US, or Canada. If you meet our broad requirements but are missing some experience, don’t hesitate to reach out to us. #J-18808-Ljbffr