About Ultralytics:

At Ultralytics, we commit to relentless innovation in the AI space and seek team members who resonate with our ambition to produce the world's best YOLO AI models. If you're obsessed with AI, eager to make an impact on the world, and thrive in dynamic, high-intensity environments, we invite you to apply for a position on our team.

⚡ Who we are

At Ultralytics, we're on a mission to simplify AI for everyone. As the creators of the world's leading open-source YOLO models and the popular Ultralytics GitHub repository, we empower millions of developers, researchers, and companies worldwide to build state-of-the-art computer vision applications.

Following our $30M Series A round, we're expanding rapidly across our global hubs in London, Madrid, and Shenzhen. This is an opportunity to join a fast-scaling, high-performance team that's redefining the future of vision AI — where ambition meets impact, and ideas become reality.

We move fast. We build boldly. We execute with purpose. And we do it together.

💼 About the role

As an R&D Engineer focused on neural network architectures for YOLO, you'll design and develop the neural network architectures at the core of how YOLO is built. Your work will directly shape the open-source models used by millions of developers across detection, segmentation, pose, and emerging vision tasks.

You'll operate at the intersection of research and production, turning ideas from papers into performant architectures, rigorous experiments, and production-ready model designs. Working closely with our cross-disciplinary R&D team, you'll help define future releases across the Ultralytics ecosystem and contribute to the technical foundations documented in our docs and guides.

This role is ideal for a hands-on researcher who thrives on first-principles thinking, rapid experimentation, and high ownership. You bring deep architectural intuition, strong PyTorch skills, and the drive to build original models that advance the state of the art.