ML Data Engineer - Sensor Data & Pipelines

München, Bayern, 80807 Vollzeit 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

• 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.

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.