ML Engineer
Ultralytics · Shenzhen, Guangdong, CN · Madrid, Madrid, ES
Applied AIonsitesenior
At a glance
Highlights
- Lead development of world-class YOLO models for global impact.
- Own full model lifecycle from research to high-performance deployment.
- Create docs and tutorials empowering a global AI community.
What they offer
- Highly competitive salary based on experience
- Equity packages
- Hybrid flexibility with 3 days in-office and 2 days remote
- 24 days vacation plus birthday off and local holidays
- Flexible working hours
- Cutting-edge AI projects and computer vision technology
- Brand-new Apple MacBook Air/Pro, Studio Display and AirPods Pro 3
Ideal candidate
You are obsessed with AI impact and thrive in relentless, high-intensity environments. Driven by ownership and excellence, you seek to redefine machine learning capabilities.
Requirements
- 5+ years of professional experience in Machine Learning Engineering or similar role
- Deep expertise in Python and deep learning frameworks, preferably PyTorch
- Proven experience with computer vision including transformers and CNN architectures
- Hands-on experience with model optimization and deployment frameworks including TensorRT, ONNX Runtime and OpenVINO
- Proficiency with CUDA programming and GPU acceleration
- Strong background in MLOps including CI/CD with GitHub Actions and Docker
- Excellent problem-solving skills with ability to thrive in fast-paced, high-intensity environment
- Experience contributing to major open-source projects is a plus
- remote policy
- Hybrid: 3 days in-office, 2 days remote
- visa sponsorship
- No visa sponsorship
Lab profile
About Ultralytics
Develops Ultralytics YOLO models for computer vision and AI innovation.
What they build
- Ultralytics YOLO
- YOLO AI models
Known for
- Computer vision
- YOLO model development
- Embedded vision
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