ML Engineer at Ultralytics (Shenzhen, China)ML Engineer

About Ultralytics:

At Ultralytics ultralytics.com/, we commit to relentless innovation in the AI space and seek team members ultralytics.com/about who resonate with our ambition to produce the world's best YOLO AI models ultralytics.com/yolo. 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 ultralytics.com/about 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 docs.ultralytics.com/yolo26 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 docs.ultralytics.com/, including detection, segmentation, and classification.
• Writing highly efficient, scalable, and production-ready code in Python docs.ultralytics.com/python using the PyTorch pytorch.org framework.
• Optimizing models for high-performance inference on diverse hardware using tools like NVIDIA TensorRT docs.ultralytics.com/, OpenVINO docs.ultralytics.com/, and ONNX docs.ultralytics.com/onnx
• Managing and processing large-scale datasets docs.ultralytics.com/datasets and implementing advanced data augmentation docs.ultralytics.com/yolo-data-augmentation strategies.
• Designing and maintaining robust CI/CD pipelines docs.ultralytics.com/CI 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 github.com/ultralytics.
• 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 ultralytics.com/about to make AI easy and accessible for everyone.

🧠 Skills and experience

• 5+ years of professional experience in Machine Learning Engineering ultralytics.com or a similar role.
• Deep expertise in Python python.org and deep learning frameworks, with a strong preference for PyTorch pytorch.org
• Proven experience with computer vision ultralytics.com/computer-vision-cv and a strong understanding of model architectures like transformers and CNNs.
• Hands-on experience with model optimization ultralytics.com/optimization-algorithm (i.e., quantization and pruning) and model deployment docs.ultralytics.com/model-deployment-options frameworks such as TensorRT developer.nvidia.com/tensorrt, ONNX Runtime onnxruntime.ai/, and OpenVINO intel.com/overview.html.
• Proficiency with CUDA developer.nvidia.com/cuda-zone programming and optimizing code for GPU acceleration.
• Strong background in MLOps ultralytics.com practices, including CI/CD using GitHub Actions github.com/actions and containerization with Docker docker.com
• Excellent problem-solving skills and the ability to thrive in a fast-paced, high-intensity environment.
• Experience contributing to major open-source projects docs.ultralytics.com/contributing 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 handbook.ultralytics.com/mission-vision-values Our team ultralytics.com/about 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 ultralytics.com/solutions.
• Gear: Brand-new Apple MacBook Air/Pro, Apple Studio Display, and AirPods Pro 3.
• Team: Become part of a supportive and passionate team environment ultralytics.com/about.

If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics ultralytics.com/careers 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: 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.