R&D Engineer

• 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.

• Experience with distributed training, mixed precision, CUDA profiling, or model deployment constraints.

• Active open-source presence with architecture-focused repositories and meaningful community adoption.

• Familiarity with the Ultralytics Python package, documentation, or community forum.

• History of taking original research from prototype to models others actually use.

We reward excellence and impact - not just tenure or title.

• 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.

Cutting-Edge, Next-Generation AI Computer Vision Technology: Contribute to building cutting-edge computer vision AI models based on the YOLO framework.

Impactful Work: Shape the future of AI-powered solutions that transform industries.

Collaborative Culture: Join a talented and passionate team that values open communication and innovation.

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.

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.

• 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.

🌎 Where and how you can work

This is a remote role.

At Ultralytics, we set bold goals and execute with speed, precision, and teamwork. We're driven by hard work, ambition, and resilience - building fast, learning constantly, and delivering measurable impact.

• Take ownership and deliver results with focus and accountability.

• Combine deep technical thinking with hands-on execution.

• Value excellence, grit, and creativity in equal measure.

• See collaboration as the foundation for meaningful progress.

Comprehensive guide to our company's mission, vision, values, and operational practices. This handbook is designed to provide key insights and resources for our (future) team members, collaborators, and community to align with Ultralytics' core principles.

Link: https://handbook.ultralytics.com/