Scan your resume against ATS criteria for this R&D Engineer role at Ultralytics.
At https://ultralytics.com/ Ultralytics, we commit to relentless innovation in the AI space and seek https://www.ultralytics.com/about team members who resonate with our ambition to produce the world's best https://ultralytics.com/yolo 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.
At https://www.ultralytics.com/ Ultralytics, we're on a mission to
. As the creators of the world's leading open-source https://docs.ultralytics.com/models/ YOLO models and the popular https://github.com/ultralytics Ultralytics GitHub repository, we empower millions of developers, researchers, and companies worldwide to build state-of-the-art computer vision applications.
Following our https://www.ultralytics.com/news/ultralytics-raises-30m-series-a
, we're expanding rapidly across our global hubs in
. 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.
As an
focused on
, you'll design and develop the neural network architectures at the core of how https://docs.ultralytics.com/models/ 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 https://www.ultralytics.com/ Ultralytics ecosystem and contribute to the technical foundations documented in our https://docs.ultralytics.com/ docs and https://docs.ultralytics.com/guides/ 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.
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
, 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 https://github.com/ultralytics/ultralytics Ultralytics Python package, https://docs.ultralytics.com/ documentation, or https://community.ultralytics.com/ community forum.
History of taking original research from prototype to models others actually use.
At Ultralytics, we set
and execute with
. We're driven by
— 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
in equal measure.
Learn more in our https://handbook.ultralytics.com/ Ultralytics Handbook and https://handbook.ultralytics.com/mission-vision-values Mission & Values.
We reward
— not just tenure or title.
This is a
role.
👉 Check out https://www.ultralytics.com/careers ultralytics.com/careers for more about our culture, values, and teams.
What we offer: 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.
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
Ultralytics is an equal opportunity employer committed to building an inclusive workplace. We believe that everyone should be able to bring their whole selves to work, and we do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or any other legally protected status.
we offer:**
How to apply for R&D Engineer at Ultralytics?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
The salary for this role is $30 per annum.
What experience is required?
5+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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