ML Data Engineer (m/f/d) - Sensor Data & Pipelines

What we offer

• Work in an international, agile team creating the future of autonomous systems

• Grow your career in a expanding and ambitious engineering team

• Build innovative products using state-of-the-art technologies in AI, robotics, and autonomy

• Benefit from a steep learning curve and continuous development

• Enjoy team events and a strong, collaborative culture

Your mission

This role sits at the core of our perception systems, owning the data that directly drives model performance in real-world environments. You will work closely with ML, perception, and robotics teams, focusing on building, curating, and continuously improving datasets behind object detection — turning raw sensor data into reliable, high-performing systems.

You will take end-to-end ownership of the ML data lifecycle, from data collection and ingestion to labeling, quality assurance, and continuous dataset improvement, ensuring data is representative, high-quality, and production-ready.

What you'll do:

• Design and maintain scalable pipelines to ingest, organize, and preprocess large volumes of time-series camera and multi-sensor data (RGB, IR, thermal, depth, IMU)

• Own and continuously improve object detection datasets, ensuring quality, diversity, and statistical representativeness

• Build and operate active learning loops, connecting model performance with data selection and improvement

• Manage labeling workflows end-to-end, including tooling, QA validation, consistency checks, and coordination of annotation efforts

• Collaborate with ML Engineers to evaluate models and translate weaknesses, bias, and drift into actionable dataset improvements

• Plan and execute data collection campaigns (e.g. field recordings, drone/video capture) to acquire high-value real-world data

• Create internal tools and dashboards to analyze dataset quality, distributions, and performance gaps