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

What we offerWork in an international, agile team creating the future of autonomous systemsGrow your career in a expanding and ambitious engineering teamBuild innovative products using state-of-the-art technologies in AI, robotics, and autonomy Benefit from a steep learning curve and continuous developmentEnjoy team events and a strong, collaborative cultureYour missionThis role owns the data foundation of our perception systems end-to-end — the layer that directly determines model performance in real-world environments. You'll set the technical direction for how we collect, curate, and continuously improve the datasets behind object detection, working as a senior technical partner to ML, perception, and robotics teams — turning raw, messy sensor data into reliable, production-grade systems at scale.You will take full ownership of the ML data lifecycle — from architecture decisions on ingestion and pipelines, through labeling strategy and QA, to driving continuous, metrics-informed dataset improvement — and will be expected to bring judgment and prior experience to how this is done, not just execute a defined process.What you'll do:Architect and own scalable pipelines for ingesting, organizing, and preprocessing large volumes of time-series camera and multi-sensor data (RGB, IR, thermal, depth, IMU)Drive the strategy behind our object detection datasets, ensuring quality, diversity, and statistical representativeness at scaleDesign and operate active learning loops that connect model performance directly to data selection and improvement prioritiesOwn labeling workflows end-to-end — tooling decisions, QA methodology, consistency standards, and coordination of annotation effortsPartner closely with AI Engineers to diagnose model weaknesses, bias, and drift, and translate findings into concrete dataset strategyPlan and lead data collection campaigns (field recordings, drone/video capture) to close gaps with high-value real-world dataBuild internal tools and dashboards