Ultralytics ML Engineer - YOLO R&D (Full-time, Onsite in Shenzhen)
Core
Designing and experimentally validating novel model architectures, loss functions, activation functions, and optimization techniques for next-generation YOLO and advanced computer vision models.
Role type
Senior IC machine-learning engineer (computer vision)
Builds
Production ML models and open-source framework improvements
Domain
Computer vision, object detection, segmentation
Deliverable
production ML models
Required skills
Python, PyTorch, model architecture design, loss function design, optimization techniques, benchmark evaluation, Docker, CI/CD, automated testing
Preferred skills
Published peer-reviewed research, extensive open-source contributions, state-of-the-art benchmark results
Technologies
PyTorch, Docker, GitHub Actions, Conda, PyPI
Responsibilities
Designing and validating novel model architectures; Implementing, training, and evaluating ML models; Publishing reproducible research; Collaborating with international ML team; Engaging with open-source user base
Seniority
Senior, hands-on IC