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Work in an international, agile team creating the future of autonomous systems
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Grow your career in a expanding and ambitious engineering team
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Build innovative products using state-of-the-art technologies in AI, robotics, and autonomy
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Benefit from a steep learning curve and continuous development
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Enjoy team events and a strong, collaborative culture
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:
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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)
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Own and continuously improve object detection datasets, ensuring quality, diversity, and statistical representativeness
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Build and operate active learning loops, connecting model performance with data selection and improvement
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Manage labeling workflows end-to-end, including tooling, QA validation, consistency checks, and coordination of annotation efforts
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Collaborate with ML Engineers to evaluate models and translate weaknesses, bias, and drift into actionable dataset improvements
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Plan and execute data collection campaigns (e.g. field recordings, drone/video capture) to acquire high-value real-world data
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Create internal tools and dashboards to analyze dataset quality, distributions, and performance gaps
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Strong experience in Python and data processing frameworks (Pandas, NumPy, vectorized operations, multiprocessing).
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Hands-on experience building ETL/ELT pipelines for ingesting, transforming, and structuring large video and sensor datasets.
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Experience with data orchestration and lifecycle management for ML and computer vision workflows, including dataset versioning and reproducibility.
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Solid understanding of object detection pipelines (Detectron2, MMDetection, COCO format, bounding-box standards).
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Experience with active learning, uncertainty sampling, or semi-supervised dataset workflows.
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Familiarity with data annotation platforms (CVAT, Label Studio) and automated QA/consistency checks.
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Strong grasp of evaluation metrics for object detection (IoU, mAP, precision-recall curves, class-wise metrics).
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Comfortable with databases (SQL/NoSQL), file systems, and the management of large-scale image, video, and sensor datasets.
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Ability to work cross-functionally with perception, deployment, robotics, and data infrastructure teams.
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Fluent in English, German and/or French are a plus
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Experience with cloud storage and MLOps tools (AWS S3, MinIO, ClearML, MLFlow, Weights & Biases).
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Familiarity with ROS / robotics data formats (bag files, TF trees, sensor_msgs), Docker, or embedded ML workflows.
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Prior work with robotics, drones, or multi-sensor perception systems, including IR, LiDAR, radar, or audio datasets.
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Outside-the-box creativity with a blend of conceptual and systematic design thinking.
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High intrinsic motivation, attention to detail, and strong problem-solving mindset.
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Structured, methodical, and reliable execution, even under uncertainty.
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Humble, collaborative, and mission-driven — values collective success over ego.
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High ethical standards and disciplined work ethic.
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Extra-curricular achievements, leadership, or unique projects are a plus.
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NATO-aligned nationality or close ally citizenship is required.
Join us to shape the future of AI-driven defense!
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.
