Computer Vision Engineer

Who We Are At

Ultralytics , we relentlessly drive innovation in AI, building the world's leading

YOLO models . We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join

our team

and help shape the future of

Vision AI .

Location and Legalities This full-time Computer Vision Engineer position is based onsite in our

Ultralytics office

in Madrid, Spain. Applicants must have legal authorization to work in the Spain, as Ultralytics does not provide visa sponsorship.

What You'll Do As a Computer Vision Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class,

open-source AI models . You will drive the entire lifecycle of our models, from research to real-world deployment. Key responsibilities include: Developing, training, and optimizing state-of-the-art

computer vision models , with a primary focus on the

Ultralytics YOLO

ecosystem. Implementing advanced

data augmentation

and preprocessing techniques to improve model robustness on diverse

datasets . Leading the full lifecycle of model development, from research and

training

to

validation

and performance

benchmarking . Mastering model

export

to various formats such as

ONNX ,

OpenVINO , and

TensorRT

to support a wide range of hardware. Working on model

deployment

strategies, including optimizing models for high-performance inference on both cloud and

edge devices . Contributing to our

CI/CD

pipelines using

GitHub Actions

to ensure code quality, reliability, and automated testing. Collaborating with the team to push the boundaries of what's possible in

object detection ,

segmentation , and other core

computer vision tasks . Your strategic vision and technical expertise will be essential in supporting

Ultralytics' mission

of delivering top-tier machine learning tools and models like

YOLO11

to the community.

️ Skills and Experience 5+ years of hands-on experience in

Computer Vision

and

Deep Learning . Expert-level proficiency in

Python

and deep expertise with

PyTorch . Strong practical experience with

OpenCV

for image and video processing tasks. Proven experience in training, fine-tuning, and deploying object detection models, particularly within the

YOLO family . Familiarity with model optimization techniques such as quantization and pruning, and deployment frameworks like

TensorRT

and

OpenVINO . Experience with MLOps tools and practices, including version control (Git),

Docker , and

CI/CD with GitHub Actions . Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment. A strong portfolio of projects or contributions to open-source

AI repositories .

Cultural Fit - Intensity Required Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our

mission, vision, and values . Our

team

thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI.

Compensation and Benefits Competitive Salary:

Highly competitive based on experience. Startup Equity:

Participate directly in our company's growth and success. Hybrid Flexibility:

3 days per week in our brand-new office - 2 days remote. Generous Time Off:

24 days vacation, your birthday off, plus local holidays. Flexible Hours:

Tailor your working hours to suit your productivity. Tech:

Engage with cutting-edge

AI projects

and our

Ultralytics HUB . Gear:

Brand-new Apple MacBook and Apple Display provided. Team:

Become part of a supportive and passionate

team environment .

If you are driven to redefine the capabilities of

machine learning

and eager to make a significant impact,

Ultralytics

offers an exceptional career opportunity.