Robot Learning

Embodied AI; Vaud; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Equity

On-site Lausanne office

Zusammenfassung

Embodied AI in Lausanne is seeking a senior robotics ML engineer to own the learning stack for our robot fleet, from data collection to policy deployment on edge devices and in the cloud. You will drive technical direction and ensure policies work on the factory floor, not just in the lab.

You will collaborate with AI, hardware and field teams, ship production-ready policies, and shape how our robots learn in real-world industrial settings.

Qualifikationen

• 5+ years in robot learning with policies running on real robots.
• Hands-on experience in imitation learning for manipulation.
• Experience deploying models on edge and cloud compute.

Aufgaben

• Own the learning stack end to end: data collection, training, evaluation and deployment of policies to our robot fleet.
• Own its integration into the fleet, across edge and cloud.
• Decide what to learn and what to engineer, and choose approaches that meet the customer's target.
• Collaborate with the AI, hardware and field teams, including on customer sites.

Kenntnisse

Robot learning

Imitation learning

Edge deployment

Policy deployment

Tools

Docker

ROS 2

NVIDIA Isaac

NVIDIA Jetson

Jobbeschreibung

About Embodied AI

Embodied AI builds robots that do real work in factories of leading industrial manufacturers. Our amazing team operates in Amsterdam, Lausanne and Rome; we build and own the hardware and software stack to make our robots move.

The role

As part of our AI team, you will own our learning stack and its integration into our robot fleet, from low-level policies on the robots up to policies for fleet management running in the cloud. We take a pragmatic approach: we deploy policies to our customers to solve their problems, and our focus is on integrating our technological breakthroughs of the past years into a production-ready stack. You will set the technical direction of this stack and make sure the policies we deploy work on the factory floor, not only in the lab.

What you will do

• Own the learning stack end to end: data collection, training, evaluation and deployment of policies to our robot fleet.
• Own its integration into the fleet, across edge and cloud.
• Decide what to learn and what to engineer, and choose approaches that meet the customer's target.
• Work with the AI, hardware and field teams, including on customer sites.

What you bring

• 5+ years in robot learning, with policies running on real robots.
• Hands-on knowledge in imitation learning for manipulation
• Deploying models on edge and cloud compute.
• A pragmatic mindset: you ship to customer milestones and pick the method that works.

Nice to have

• Experience with the NVIDIA ecosystem: Isaac, Jetson.
• Vision-language models for robotics.
• DevOps and MLOps (Docker, ROS 2): shipping policies into production.
• Experience managing a team of AI engineers.
• Contact-rich or bimanual manipulation, reinforcement learning, sim-to-real.

What we offer

• Robots deployed with leading manufacturers, and the chance to shape how they learn.
• Real ownership in a fast-growing team, with our own hardware to work on.
• An office in central Lausanne with a dedicated robot test area.
• Equity.

Logistics

• On site in Lausanne.
• Start: as soon as possible.

Embodied AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for everyone.