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R&D Engineer

Ultralytics

Applied AIonsitesenior
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At a glance

Highlights

  • Design novel neural architectures powering next-generation YOLO models.
  • Shape open-source vision models used by millions of developers worldwide.
  • Turn cutting-edge research papers into production-ready model designs.

What they offer

  • Equity packages
  • Flexible working hours valuing results over routines
  • 24 vacation days plus birthday off and local holidays
  • Brand-new Apple MacBook, Studio Display and AirPods Pro 3
  • Dedicated budget for personal and professional growth
  • Global collaboration across London, Madrid and Shenzhen hubs
  • High-impact work shaping the future of vision AI

Ideal candidate

Hands-on AI researcher with deep architectural intuition who thrives in fast-moving, high-ownership environments and is driven to turn bold ideas into impactful open-source vision AI.

Requirements

  • 5+ years hands-on experience in computer vision and deep learning with architecture design expertise
  • Proven success building models from the ground up, not just fine-tuning checkpoints
  • Expert-level Python and deep proficiency in PyTorch including custom layers and training loops
  • Strong command of convolutions, attention, normalization, optimization and loss design
  • Ability to read research papers and implement them faithfully from scratch
  • Experience with efficiency research such as quantization, pruning, distillation or NAS
  • Strong portfolio of research contributions via papers, preprints or open-source work
remote policy
fully remote

Lab profile

About Ultralytics

Develops Ultralytics YOLO models for computer vision and AI innovation.

What they build

  • Ultralytics YOLO
  • YOLO AI models

Known for

  • Computer vision
  • YOLO model development
  • Embedded vision
More about Ultralytics →
Apply on the lab’s site ↗

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