ML Engineer

Ultralytics; Madrid; Hybrid; EUR 80,000 - 120,000; Full time

Benefits offered by this job

Equity packages

Hybrid flexibility

24 days vacation

Birthday off

Apple gear

Team environment

Job summary

Ultralytics is looking for an experienced Machine Learning Engineer to join our Shenzhen team in a hybrid setup (3 days in-office, 2 remote). You will develop and refine our YOLO models from research to deployment and collaborate with researchers and engineers.

You will work with Python/PyTorch, optimize across GPUs, contribute to open-source, and create documentation and tutorials for users of Ultralytics technology. Applicants must be eligible to work in China.

Qualifications

• 5+ years of professional experience in Machine Learning Engineering or a similar role.
• Deep expertise in Python and deep learning frameworks, with a strong preference for PyTorch.
• Proven experience with computer vision and a strong understanding of model architectures like transformers and CNNs.
• Hands-on experience with model optimization (i.e., quantization and pruning) and model deployment frameworks such as TensorRT, ONNX Runtime, and OpenVINO.
• Proficiency with CUDA programming and optimizing code for GPU acceleration.
• Strong background in MLOps practices, including CI/CD using GitHub Actions and containerization with Docker.
• Excellent problem-solving skills and the ability to thrive in a fast-paced, high-intensity environment.
• Experience contributing to major open-source projects is a significant advantage.

Responsibilities

• Developing, training, and validating state-of-the-art models for computer vision tasks.
• Writing efficient, scalable Python code using PyTorch.
• Optimizing models for high-performance inference across hardware using TensorRT, OpenVINO, and ONNX.
• Managing and processing large-scale datasets and implementing data augmentation strategies.
• Designing and maintaining CI/CD pipelines with GitHub Actions for automated training, testing, and benchmarking.
• Collaborating with research and engineering teams to implement cutting-edge techniques and contribute to open-source repositories.
• Engaging with the community by creating documentation and tutorials for users of Ultralytics technology.

Skills

Python

PyTorch

Computer vision

CUDA

MLOps

GitHub Actions

Docker

TensorRT

ONNX Runtime

OpenVINO

Open-source

Tools

CUDA toolkit

NVIDIA TensorRT

OpenVINO toolkit

ONNX Runtime

Docker

Job description

About Ultralytics:

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.

Where and how you can work

This full-time Machine Learning Engineer position is based at our brand-new Ultralytics office in Shenzhen, China, with a hybrid model of three days in-office and two days remote. Applicants must have legal authorization to work in China, as Ultralytics does not provide visa sponsorship.

What you'll do

As a Machine Learning Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class Ultralytics YOLO models. You will work on the entire lifecycle of our models, from research and development to high-performance deployment. Key responsibilities include:

• Developing, training, and validating state-of-the-art models for a variety of computer vision tasks, including detection, segmentation, and classification.

• Writing highly efficient, scalable, and production-ready code in Python using the PyTorch framework.

• Optimizing models for high-performance inference on diverse hardware using tools like NVIDIA TensorRT, OpenVINO, and ONNX.

• Managing and processing large-scale datasets and implementing advanced data augmentation strategies.

• Designing and maintaining robust CI/CD pipelines with GitHub Actions for automated model training, testing, and benchmarking.

• Collaborating with our research and engineering teams to implement cutting-edge techniques and contribute to our open-source repositories.

• Engaging with our global community by creating documentation, tutorials, and supporting users to solve real-world problems with our technology.

Your expertise will be critical in advancing the capabilities of our models and supporting Ultralytics' mission to make AI easy and accessible for everyone.

Skills and experience

• 5+ years of professional experience in Machine Learning Engineering or a similar role.

• Deep expertise in Python and deep learning frameworks, with a strong preference for PyTorch.

• Proven experience with computer vision and a strong understanding of model architectures like transformers and CNNs.

• Hands-on experience with model optimization (i.e., quantization and pruning) and model deployment frameworks such as TensorRT, ONNX Runtime, and OpenVINO.

• Proficiency with CUDA programming and optimizing code for GPU acceleration.

• Strong background in MLOps practices, including CI/CD using GitHub Actions and containerization with Docker.

• Excellent problem-solving skills and the ability to thrive in a fast-paced, high-intensity environment.

• Experience contributing to major open-source projects is a significant advantage.

Cultural fit

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.

• Equity packages: 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 working hours: Tailor your working hours to suit your productivity.

• Tech & tools: Engage with cutting-edge AI projects.

• Gear: Brand-new Apple MacBook Air/Pro, Apple Studio Display, and AirPods Pro 3.

• 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.

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.

Ultralytics Handbook

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/

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.