About this role
Robot Learning Engineer at rohlik is an opportunity based in München, Germany, focused on building physical AI systems to automate fulfilment centres. This position suits an experienced machine learning professional who wants to take ownership of capture specifications, data evaluation, and initial robot policy training.
Role Overview
Robot Learning Engineer is an engineering position within a small, newly created team at rohlik in München, Germany. The successful candidate will act as the machine learning voice in the room, working alongside an operations lead and a data engineer. The core mission involves recording human handling of groceries, transforming those recordings into a robust training corpus, and post-training open robot-learning models.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
About the Company
rohlik operates as a leading Central European e-grocer serving over a million customers across multiple regional platforms including Rohlik.cz, Knuspr.de, Kifli.hu, Gurkerl.at, and Sezamo.ro. The company delivers over 17,000 items within short time windows and is actively building an autonomous grocery fulfilment network utilizing AI assistants, vision models, and physical robotics.
How to Apply
Interested candidates should visit the official rohlik careers page to submit their application.
Skills and tech stack
Questions candidates ask
Where is the Robot Learning Engineer position located?
The role is located in München, Germany.
How many years of experience are required for this role?
The posting requires 3+ years of relevant full-time robotics experience.
Is a publication record required for this position?
No publication record is required, as this is not a research-scientist role.
What specific technical stack and tools are mentioned?
The technical stack includes PyTorch, ROS 2, computer vision tools for 3D geometry, camera calibration, pose estimation, SLAM, along with AI agents like Claude Code and Devin.
What team structure will the engineer work within?
The engineer will be part of a small, newly created team consisting of an operations lead, a data engineer, and the machine learning engineer.
