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.

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 o 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.
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.

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.

AI Benchmark & Datasets Engineer – Internship

Key skills