Listed on Arbeitnow, shown here so you can find it. autonomous-teaming handles the application — the button opens the original listing.
ML Data Engineer (m/f/d) - Sensor Data & Pipelines
autonomous-teaming
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 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 scale
Design and operate active learn
This role was published on Arbeitnow and is mirrored here. Applications are handled by Arbeitnow — the Apply button opens their listing.
Skills
How we screen listings
Every job here is checked before it goes live for the things that cost candidates money: registration or training fees, requests for Aadhaar, PAN or bank details, package-reshipping work, and income-opportunity pitches. No legitimate employer will ever ask you to pay to be hired. If this listing does, use the report link — that is how a fake one gets taken down.