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ML Data Engineer (m/f/d) - Computer Vision, Video & Sensor Data

Munich (DEU)
Full-time
Permanent employee

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

  • Design and maintain high-throughput, scalable pipelines to ingest and organize large volumes of time-series camera and sensor data (RGB, IR, thermal, acoustic, depth, IMU).
  • Own, curate, and continuously improve computer vision datasets for object detection and classification, ensuring high-quality, diverse, and statistically representative data.
  • Build and operate active learning loops to prioritize high-value samples and accelerate dataset improvements.
  • Write robust preprocessing and transformation pipelines using Python, NumPy, Pandas, and Albumentations for large-scale computer vision workloads.
  • Manage labeling workflows, including automation, QA validation, annotation consistency checks, and dataset versioning.
  • Collaborate with ML Engineers to fine-tune, train, and evaluate detection models, feeding insights back into data generation and selection.
  • Analyze model weaknesses, blind spots, bias, and drift to derive actionable data improvements.
  • Create internal tools and dashboards to visualize, audit, and analyze dataset quality, diversity, long-tail distributions, and model performance gaps.

Your profile

  • Strong experience in Python and data processing frameworks (Pandas, NumPy, vectorized operations, multiprocessing).
  • Hands-on experience building ETL/ELT pipelines for ingesting, transforming, and structuring large video and sensor datasets.
  • Experience with data orchestration and lifecycle management for ML and computer vision workflows, including dataset versioning and reproducibility.
  • Solid understanding of object detection pipelines (Detectron2, MMDetection, COCO format, bounding-box standards).
  • Experience with active learning, uncertainty sampling, or semi-supervised dataset workflows.
  • Familiarity with data annotation platforms (CVAT, Label Studio) and automated QA/consistency checks.
  • Strong grasp of evaluation metrics for object detection (IoU, mAP, precision-recall curves, class-wise metrics).
  • Comfortable with databases (SQL/NoSQL), file systems, and the management of large-scale image, video, and sensor datasets.
  • Ability to work cross-functionally with 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.