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Ultralytics

R&D Engineer

RemoteUnited States only
Published
Role
Research
Experience
Senior
Employment
Full-time
Company size
Startup
Salary not disclosed
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Open to US only. Set where you work from to check your eligibility.

No BS summary

R&D Engineer focused on neural network architectures for YOLO. Requires 5+ years of computer vision/deep learning experience, expert Python and PyTorch skills, and proven success building models from scratch. Must have strong fundamentals in convolutions, attention, optimization, and loss design, with experience in efficiency research. A strong portfolio of research contributions is essential.

Core skills

PyTorchYOLOneural network architectures

Required skills

Pythonconvolutionsattentionnormalizationoptimizationloss designquantizationpruningdistillationneural architecture search

Optional skills

distributed trainingmixed precisionCUDA profilingmodel deployment constraintsUltralytics Python packageUltralytics documentationUltralytics community forum

What you'll do

  • Research, design, and build novel neural network architectures for next-generation YOLO models.
  • Develop core components including backbones, necks, heads, attention modules, and efficient building blocks.
  • Read, reproduce, and extend cutting-edge papers into working model architectures from scratch.
  • Run rigorous ablation studies and large-scale architecture experiments across standard benchmarks.
  • Improve accuracy, latency, and scaling through distillation, pruning, and quantization-aware design.
  • Build training recipes and evaluation pipelines for detection, segmentation, pose, and new vision tasks.
  • Partner with R&D and engineering teams to turn research ideas into production-ready open-source models.
  • Contribute to foundational model initiatives that support future YOLO and broader vision systems.
  • Take ownership of assigned R&D tasks beyond architecture work and solve problems efficiently and correctly.

What they require

  • 5+ years of 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 pretrained checkpoints.
  • Expert-level Python and deep proficiency in PyTorch, including custom layers, modules, and training loops.
  • Strong command of convolutions, attention, normalization, optimization, and loss design fundamentals.
  • Ability to read a research paper and implement it faithfully and efficiently from scratch.
  • Experience with efficiency research such as quantization, pruning, distillation, or neural architecture search.
  • Strong portfolio of research contributions through papers, preprints, open-source code, or original model work.
  • High ownership, adaptability, and comfort operating in a fast-moving research environment.
  • Published research at venues such as CVPR, ICCV, ECCV, NeurIPS, or ICLR.
  • Active open-source presence with architecture-focused repositories and meaningful community adoption.
  • History of taking original research from prototype to models others actually use.

Benefits

  • Competitive salary: Reflecting your experience and contribution.
  • Equity packages: We want our success to be yours too.
  • Global collaboration: Work with passionate builders across our global team.
  • Flexible working hours: We value results over routines.
  • Generous time off: 24 vacation days, your birthday off, plus local holidays.
  • Tech & tools: Work on cutting-edge AI projects that power millions of devices.
  • Gear: Brand-new Apple MacBook Air/Pro, Apple Studio Display, and AirPods Pro 3.
  • Learning & development: Dedicated budget for personal and professional growth.
  • High impact: Your work will shape the future of vision AI.

At Ultralytics https://www.ultralytics.com/, we're on a mission to simplify AI for everyone. As the creators of the world's leading open-source YOLO models https://docs.ultralytics.com/models/ and the popular Ultralytics GitHub repository https://github.com/ultralytics, we empower millions of developers, researchers, and companies worldwide to build state-of-the-art computer vision applications. Following our $30M Series A round https://www.ultralytics.com/news/ultralytics-raises-30m-series-a, 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.

🇬🇧 United KingdomAIStartup
Salary not disclosed