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 general 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 mak

📌 ML Engineer (Madrid)
🏢 Ultralytics
📍 Madrid