AI Research Engineering Lead in Zürich, Zürich at Mimic Robotics

mimic robotics is a frontier physical AI company building the full stack of general-purpose dexterous manipulation. Founded in 2024 by ETH Zurich researchers, mimic pioneered Video-Action Models for robotics while also developing in-house dexterous hand hardware. Our growing team brings together world-class researchers working across our offices in Zurich and San Francisco.

We are hiring an AI Research Engineering Lead in Zurich. You will co-lead the AI team, focusing your efforts on pushing the frontier of multi-modal, video-action models (VAMs) targeting higher generalisation capabilities and improving deployment to real world industrial tasks.

Research Background: PhD in CS/ML or equivalent PhD-level industry research experience (e.g., Senior/Staff AI Scientist at a frontier lab). We heavily prioritize generalist ML and deep pre-training over pure robotics or classical control/RL background.

Generative Modeling at Scale: 3+ years directly building and scaling generative architectures (diffusion, flow matching, autoregressive models, VLMs, or video models).

Distributed Engineering: 4+ years of hands-on PyTorch (or similar) development, including multi-GPU pre-training setups (FSDP, DeepSpeed, Megatron) and scaling law mechanics.

Technical Leadership: Proven track record of mentoring junior engineers, supervising PhD interns, or leading collaborative research projects.

Location: Based in or willing to relocate to Zurich for full-time, in-person work (San Francisco based candidates will also be considered).

Out of Scope: This is a deep model-building role. Candidates limited to classical control/RL without generative models, or application-level RAG/API wrappers, will not be considered.

You will have the opportunity to shape a robotics & AI company from the ground up. In flat hierarchies you will work directly with the founders and some of the best talents in the robotics space. At mimic, you are accepted for who you are. As part of our ongoing journey towards creating a diverse and inclusive environment we encourage everyone to apply and we are looking forward to you bringing along your knowledge, personal experiences, and fresh perspectives. Together we can solve some of the greatest challenges in robotics.