Technical staff: Research Engineer
KE:SAI is looking for a Research Engineer.
KE:SAI is driven by a single mission: To advance the efficiency frontier of robust & safe physical AI through fully open and reproducible research.
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. This is a permanent position.
Your profile
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 KE:SAI on their mission!
Your application
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:
- A Cover Letter in which you state (i) why you want to work for KE:SAI and (ii) your most significant accomplishment. They are particularly interested in the how: the steps you took, and what you learned.
- Your Curriculum Vitae (CV) including links to your Google Scholar, Github, and a list of reference letter writers that know you and can be contacted by them.
- Your Research Statement describing your prior research as well as your future agenda. Include links to research papers or technical documentation (Technical Staff) and/or your Bachelor / Master thesis (PhD Student, Intern).
- Your University Transcripts, for both undergraduate as well as graduate level studies (if applicable).