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

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.)

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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.