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 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 learning loops that connect model performance directly to data selection and improvement priorities


• Own labeling workflows end\-to\-end — tooling decisions, QA methodology, consistency standards, and coordination of annotation efforts


• Partner closely with AI Engineers to diagnose model weaknesses, bias, and drift, and translate findings into concrete dataset strategy


• Plan and lead data collection campaigns (field recordings, drone/video capture) to close gaps with high\-value real\-world data


• Build internal tools and dashboards that give the org visibility into dataset quality, distribution, and performance gaps

Your profile

• 5\+ years of hands\-on experience in Python and data processing frameworks (Pandas, NumPy, vectorized operations, multiprocessing)


• Proven track record building and owning ETL/ELT pipelines for large\-scale video and sensor datasets in production


• Deep experience with data orchestration and lifecycle management for ML/computer vision workflows, including dataset versioning and reproducibility


• Strong command of object detection pipelines (Detectron2, MMDetection, COCO format, bounding\-box standards)


• Demonstrated experience designing active learning, uncertainty sampling, or semi\-supervised dataset workflows


• Deep familiarity with data annotation platforms (CVAT, Label Studio) and building automated QA/consistency checks


• Strong grasp of evaluation metrics for object detection (IoU, mAP, precision\-recall curves, class\-wise metrics)


• Comfortable owning decisions around databases (SQL/NoSQL), file systems, and large\-scale image, video, and sensor dataset management


• Track record of working cross\-functionally and influencing perception, deployment, robotics, and data infrastructure teams


• Fluent in English; German and/or French are a plus

Nice to have

• Experience with cloud storage and MLOps tools (AWS S3, MinIO, ClearML, MLFlow, Weights \& Biases).


• Familiarity with ROS / robotics data formats (bag files, TF trees, sensor\_msgs), Docker, or embedded ML workflows.


• Prior work with robotics, drones, or multi\-sensor perception systems, including IR, LiDAR, radar, or audio datasets.

What else

• Outside\-the\-box creativity with a blend of conceptual and systematic design thinking.


• High intrinsic motivation, attention to detail, and strong problem\-solving mindset.


• Structured, methodical, and reliable execution, even under uncertainty.


• Humble, collaborative, and mission\-driven — values collective success over ego.


• High ethical standards and disciplined work ethic.


• Extra\-curricular achievements, leadership, or unique projects are a plus.


• NATO\-aligned nationality or close ally citizenship is required.

Why us?

Join us to shape the future of AI\-driven defense!

About us

The world is changing. Exponential technologies are enabling new types of security threats. ATS is committed to staying ahead by building nimble, scalable, and cost\-effective defences. We are looking for passionate team members who are eager to create exceptional products, safeguard our freedom, and strengthen the resilience of democracies.

Who we are: Autonomous Teaming is a defence\-tech start\-up specializing in machine vision solutions. Driven by cutting\-edge innovation, our team works on next\-generation technologies designed to meet rapidly evolving security challenges.

What we do: We develop systems that enable computers and sensors to operate as coordinated teams, collaborating in real time to counter AI\-powered asymmetric threats at scale — including drone swarms and other UXVs. Our mission is to build resilient, intelligent defence capabilities that perform reliably in the most demanding environments.

How we work: We value close, in\-person collaboration as the foundation for building complex, high\-impact technology, while maintaining flexibility aligned to role and team needs. Our culture is built on ownership, responsibility, and trust — with a shared commitment to growing and building together.

Where we are: Based in Munich, Berlin, and Toulouse, we are expanding rapidly across Europe with plans to open additional office hubs.

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