Robot Learning Engineer VLA and Foundation Models

6 days agoMunich, Germany Ai Jobs by Agile Robots SE

Skills

Data Pipeline Diffusion Model Foundation Model Imitation Learning Isaac Sim Maniskill Mujoco Python Pytorch Reinforcement Learning Robotics Robot Learning Ros Sensor Integration Sim-To-Real Simulation Teleoperation Transformer Vision-Language-Action

Candidate Availability

Munich · Required

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will design, train, evaluate, and deploy vision- and language-conditioned robot policies. You will build multimodal data workflows, integrate policies into real robot systems, diagnose failures in simulation and on hardware, and apply relevant robot-learning and foundation-model advances.

Requirements

Degree in computer science, robotics, electrical engineering, or a related field, or equivalent research and professional experience
Experience with learning-based robot policies, imitation learning, visuomotor control, Vision-Language-Action models, or embodied AI
Experience with robotic hardware, robot manipulation, ROS/ROS2, sensor integration, control interfaces, or real-world deployment
Proficiency in Python and PyTorch for model implementation, training loops, data loaders, and evaluation pipelines
Ability to design experiments, compare model variants, debug failures, and improve real-task performance

Responsibilities

Design, train, and evaluate vision- and language-conditioned robot policies
Build workflows for collecting, structuring, and validating multimodal robot data
Define action spaces, control interfaces, temporal chunking, and evaluation protocols
Test policies in simulation and on physical robots and diagnose failures
Integrate learned policies into robot software stacks with safety and runtime monitoring
Apply relevant robot-learning, Vision-Language-Action, and foundation-model advances

Benefits

Corporate Benefits Program covering health, mobility, and learning for €100 net per month
Free drinks and fruit
Regular company events