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Description

We are looking for a working student to help us curate, integrate, and standardize robotics datasets, and to build automations around our internal data pipelines. You'll work closely with our ML and robotics teams, turning raw  data into high-quality material for our models — and you'll get hands-on time with real robots in our office, including teleoperation sessions for data collection. This is an onsite role.

Your Responsibilities

• Curate and integrate datasets — ingest third-party and in-house data, convert formats, standardize, normalize.
• Run quality checks on incoming and processed datasets, automated and manual.
• Build automations for recurring pipeline tasks, including experimenting with LLM/VLM APIs as building blocks.
• Generate insights into our datasets — distributions, coverage gaps, statistics.
• Support data collection by teleoperating our office robots, and collaborate with ML, robotics, and annotation stakeholders.

Requirements

• Currently pursuing a Bachelor's (or higher) in CS, Robotics, ML, Data Science, or a related field.
• Solid Python skills, comfortable with the usual stack: pandas, numpy, fastapi, torch.
• Comfortable working in Linux.
• Some hands-on ML experience.
• Robotics fundamentals — familiarity with the ecosystem and common building blocks (you don't need all of these, show us what you know):
• ROS / ROS 2
• Robotics dataset formats and tooling (LeRobot, MCAP, rosbag, HDF5)
• Sensor data basics (cameras, IMUs, joint states, point clouds)
• Coordinate frames, transforms, and time synchronization
• Genuine interest in data and statistics
• Curiosity about LLMs/VLMs and using their APIs to solve real problems
• A hands-on mentality — happy to dig into messy data

Benefits

• Work with a world-class team in a flat hierarchy, with direct collaboration alongside the founders and engineering team

• Opportunity to make a real impact by working on cutting-edge robotics and AI systems
• Fast growth potential in a rapidly evolving company and industry
• International office environment with English as the official working language

Recruiting Process

Your recruiting partner for this role is Madhulika (she/her). You can expect a screening interview and upto 2 rounds of interviews including an onsite visit to our office in Munich.

We hire across backgrounds, identities, and experiences, and we are committed to a workplace where everyone belongs. Discrimination has no place here.

If you need any accommodations during the recruiting process, just reach out to your recruiting partner.