Our team is driven by a single mission: To advance the efficiency frontier of robust & safe physical AI through fully open and reproducible research. If you are excited about physical AI, world models and autonomy, and want to join us on this mission, apply for one of the following roles:
Drive frontier AI research as an AI research scientist. Lead your own research aligned with KE:SAI's core mission, publish reproducible work with open models and code, and contribute to a culture where scientific rigour and openness go hand in hand. You will have the opportunity to mentor interns and PhD students.
Support frontier AI research as an AI research engineer. You will own the infrastructure that makes science move fast, from scalable training pipelines and rigorous experiment tracking to the kind of hyperparameter intuition and systems reliability that complex foundation models deeply depend on.
Pursue a PhD at the cutting edge of physical AI, supervised by world-leading researchers. You will be embedded in a collaborative environment, with access to large-scale compute and real-world data, and are expected to publish at top-tier conferences.
Join us for a research internship and work directly on open problems in world models, computer vision and autonomous driving. We welcome highly motivated undergraduate, graduate and PhD students with prior research experience for stays of four months or longer.
You have great analytical skills, are highly-motivated, curious, creative, and a good team player. You have a very good mathematical understanding, great coding skills, and prior research or engineering experience related to KE:SAI's mission. If you apply for a Technical Staff position, you have earned a PhD and authored papers at top-tier conferences in computer vision, robotics, or machine learning, or have equivalent industry experience. You are excited about KE:SAI's mission, committed to open science, and are looking to work with some of the most talented researchers in the field at the frontier of AI. Is this you? Then join us on our mission!
To apply, send your application package as one single pdf with maximally 10 pages to: talent@kesai.eu. Your application ideally includes the following information in this order: