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Autonomous Teaming

Deep Learning Engineer – Object Detection & Perception (m/w/d)

Autonomous Teaming
France · Full-time · Entry

Your mission

  • Build, adapt, and train neural networks for object detection and perception tasks using time-series data
  • Implement perception algorithms that extract and leverage temporal context across multiple frames
  • Design, implement and optimize custom loss functions, augmentations, and architectures
  • Collect, prepare and curate datasets from the real world – no given Kaggle-style clean datasets
  • Supervise data annotation by refining labeling guidelines and assuring adherence to them
  • Evaluate and debug models using a variety of metrics and statistics (AP, Precision/Recall, mIoU, etc.) and videos
  • Push models into production as part of an integrated multi-sensor system (camera, radar, IR, etc.)

Your profile

  • Strong experience in computer vision and deep learning, with a focus on object detection (One-Stage or Two-Stage models like YOLO / FCOS / DETR / Faster R-CNN etc.)
  • Experience with temporal models (e.g., RNNs or transformer-based tracking)
  • Ability to modify and extend network architectures (not just use them)
  • Hands-on experience in data collection, labeling, augmentation, training
  • Proven ability to train from scratch or adapt to custom classes and data
  • Familiarity with perception challenges specific to robotics, such as motion blur, lighting variation, occlusion, or limited compute
  • Proficiency in PyTorch, Python, Git, Docker

Nice to have

  • Experience with tracking algorithms (e.g., DeepSORT, ByteTrack, Kalman Filters)
  • Prior work with non-visual sensors like infrared, acoustic, radar, or LiDAR for object detection and fusion
  • Exposure to model optimization and compression (quantization, pruning, distillation)
  • Experience in the domain of UAVs, familiarity with ROS

Meta

  • Outside of the box creativity, conceptional & systematic design thinking, disciplined execution
  • Servant leader mindset, placing team success over ego
  • Highest moral standards and work ethic
  • We value extra-curricular responsibilities and achievements in your biography
  • Intrinsic motivation, willing to go the extra mile, attention to detail
  • Fluent in English
  • Nationality of a NATO member nation or close ally is a must
  • Successful candidates will be required to obtain security clearance

Why us?

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

Do you feel that you fit the description, but don't think you fulfill all the criteria 100%? Apply to us anyway. 

We look forward to receiving your detailed application via our online form. 

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

About Us

We are a defence-tech start-up specializing in machine vision solutions. If you have a passion for cutting-edge innovation, and drive to use your skills to create next generation solutions, this is an opportunity for you!

What we do: We are developing solutions that enable computers and sensors to collaborate as teams, working together to address emerging security challenges. Our primary mission is to defend against AI-powered asymmetric threats at scale, such as drone swarms and other UXVs.

Who we are: Based in Munich, Berlin and Bordeaux/Toulouse we are rapidly expanding across Europe with plans to open more office hubs soon. We embrace a hybrid work culture - valuing the collaborations that happens in the office, while also empowering our team members to work remotely with responsibility and autonomy.

Key Skills

Ranked by relevance

ai neural networks computer vision deep learning pytorch python nimble git
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Posted
Jun 13, 2025
Type
Full-time
Level
Entry
Location
Toulouse

Industries

Software Development

Categories

Engineering Information Technology

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