Beschreibung

Robot Learning Engineer (m/f/d) VLA & Foundation Models

1.01.0 von 5 Sternen

Plinganserstraße 134, 81369 München

Stellenbeschreibung

Anstellungsart

Vollzeit

Arbeitsort

Plinganserstraße 134, 81369 München

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Vollständige Stellenbeschreibung

About the role

The AI Research Division of Agile Robots is looking for a Robot Learning Engineer (m/f/d) VLA & Foundation Models, who will develop and deploy vision- and language-conditioned robot policies for real-world manipulation on physical robot platforms.

Your Responsibilities

Policy Development: Design, train, and evaluate vision- and language-conditioned robot policies using approaches such as imitation learning, diffusion models, transformer architectures, or reinforcement learning.
Data Pipelines: Build workflows for collecting, structuring, and validating multimodal robot data from teleoperation, simulation, and real-world experiments, covering video, proprioception, force signals, and task outcomes.
Robot Integration: Define action spaces, control interfaces, temporal chunking, and evaluation protocols to ensure learned policies are compatible with real robot execution contexts.
Failure Analysis: Test policies in simulation and on physical robots, diagnosing failures caused by distribution shift, perception errors, contact dynamics, latency, and data quality.
Deployment: Integrate learned policies into robot software stacks, with attention to latency, synchronization, safety checks, fallback behavior, and runtime monitoring.
Research Application: Track developments in robot learning, VLA models, and foundation model methods, applying relevant advances to Agile’s robot platforms and use cases.

Essential Skills

Background: Degree in computer science, robotics, electrical engineering, or a closely related field, or an equivalent combination of research and professional experience in robot learning or embodied AI.
Robot Learning: Hands-on experience building or working with learning-based robot policies, including imitation learning, visuomotor control, VLA models, or closely related embodied AI methods.
Robotics Systems: Practical experience with robotic hardware, including real robot manipulation, ROS/ROS2, sensor integration, control interfaces, or real-world robot deployment.
ML Engineering: Working proficiency in Python and PyTorch, including the ability to implement models, training loops, data loaders, and evaluation pipelines beyond notebook-level prototypes.
Experimental Practice: Ability to design experiments, compare model variants, debug failures across the ML/robotics boundary, and iterate toward measurable performance on real tasks.

Beneficial Skills

VLA Experience: Familiarity with VLA models or robotic foundation models such as π0, GR00T, or equivalent, including action-token or action-chunk representations.
Policy Deployment: Experience deploying learned models on physical robots or edge compute platforms, including latency-constrained inference pipelines.
Reinforcement Learning: Experience with online or offline RL for robotics, including reward design, simulation-based training, or combining RL with imitation learning.
Simulation: Experience with simulators such as MuJoCo, Isaac Sim, or ManiSkill and with sim-to-real transfer workflows.
Data Collection: Experience building or operating teleoperation systems, human-in-the-loop data collection, or intervention learning setups.

What we offer

Dynamic high-tech company combined with financial soundness and world class investors.
Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment.
Lots of development opportunities in the context of our continued growth.
Challenging tasks and impactful projects alongside experts that enable professional and personal growth.
Corporate Benefits Program that covers health, mobility and learning with 100 € net per month.
Modern office facilites with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment.

About us

Agile Robots SE is an international high-tech company based in Munich, Germany with a production site in Kaufbeuren and more than 2300 employees worldwide. Our mission is to bridge the gap between artificial intelligence and robotics by developing systems that combine state-of-the-art force-moment-sensing and world-leading image-processing technology. This unique combination of technologies allows us to provide user-friendly and affordable robotic solutions that enable intelligent precision assembly.

This is made possible by our employees, who bring out the best in each and every day with creativity and enthusiasm. Become part of this team and shape the future of robotics with us!

We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability.