Computer Vision Engineer – Object Detection (m/f/d)

Autonomous Teaming Solutions; München; Presencial; EUR 90 000 - 130 000; Tempo integral

Resumo da oferta

Autonomous Teaming Solutions is seeking an experienced engineer to build, train, and deploy neural networks for object detection and perception in autonomous systems. You will work within an international, agile team, shaping AI-driven defense-capable technologies.

The role emphasizes hands-on dataset work, model optimization, and production deployment across multi-sensor platforms. Ideal candidates have strong CV/DL background, temporal modeling experience, and proficiency in PyTorch, Python,

Qualificações

• Strong experience in computer vision and deep learning with object detection
• Temporal models such as RNNs, ConvLSTMs, or transformer-based tracking
• Ability to modify and extend network architectures
• Hands-on dataset collection, labeling, augmentation, and training
• Proven ability to train object detectors from scratch or adapt to custom classes
• Familiarity with perception challenges in robotics (motion blur, lighting, occlusion)
• Proficiency in PyTorch, Python, Git, Docker

Responsabilidades

• Build, adapt, and train neural networks for object detection and perception tasks
• Implement perception algorithms leveraging temporal context across frames
• Design, implement, and optimize loss functions, augmentations, and architectures
• Collect, prepare, and curate real-world datasets
• Supervise data annotation and refine labeling guidelines
• Evaluate models with AP, Precision/Recall, mIoU, and video metrics
• Deploy models into production as part of a multi-sensor system (camera, radar, etc.)

Conhecimentos

Computer vision & deep learning

Temporal models

Modify architectures

Dataset collection & labeling

Train detectors from scratch

Robotics perception challenges

PyTorch, Python, Git, Docker

Ferramentas

PyTorch

Python

Git

Docker

Descrição da oferta de emprego

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

• 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 – not pre-cleaned academic datasets
• Supervise data annotation by refining labeling guidelines and assuring adherence to them
• Evaluate and debug models using AP, Precision/Recall, mIoU, and video-based metrics
• Deploy models into production as part of an integrated multi-sensor system (camera, radar, IR, acoustic, etc.)

Your profile

• Strong experience in computer vision and deep learning, with a focus on object detection using one-stage or two-stage models (YOLO, FCOS, DETR, Faster R-CNN, etc.)
• Strong experience with temporal models such as RNNs, ConvLSTMs, or transformer-based tracking
• Ability to modify and extend network architectures, not just use them off the shelf
• Hands‑on experience in dataset collection, labeling, augmentation, and training
• Proven ability to train object detection models from scratch or adapt them 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 (DeepSORT,ByteTrack, Kalman Filters).
• Prior work with non-visual sensors such as 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.

What else

• Intrinsic motivation, attention to detail, and strong problem-solving mindset
• Creative thinker with a structured and systematic approach
• Humble and collaborative — prioritizes collective success over individual recognition
• High ethical standards and disciplined work ethic
• Extra‑curricular leadership or achievements are a bonus
• Fluent in English
• Nationality of a NATO member nation or close ally isrequired
• Successful candidates will be required to obtain security clearance

Why us?

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

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.

Keywords

object detection, perception algorithms, temporal processing, mIoU, multi-sensor system, RNN, transformer-based tracking, perception challenges, PyTorch, DeepSORT, noon-visual sensors, computer vision, machine learning, YOLO, UAVs, Defense AI systems, autonomous drones, T