• You are fluent in English, and have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences.
• You have background in adversarial ML, agent/prompt security, watermarking/detectors, differential privacy, or trusted execution (TEE).
• You’re not afraid of contributing to a big codebase and can find yourself around independently with little guidance.
• You’re expert with PyTorch or JAX; strong C++/CUDA or low‑level performance skills a plus; production‑grade Python.
• You don’t need roadmaps: you just do. You don’t need a manager: you just ship.
• Low-ego, collaborative and eager to learn.
• You have a track record of success through personal projects, professional projects or in academia.
It would be great if you
• Hold a PhD / master in a relevant field (e.g., Mathematics, Physics, Machine Learning), but if you’re an exceptional candidate from a different background, you should apply.
• Have contributed to a large codebase used by many (open source or in the industry).
• Have a track record of publications in top academic journals or conferences.
• Have publications in top ML/security venues and/or contributions to open-source security or observability tools.
• Love improving existing code by fixing typing issues, adding tests and improving CI pipelines.