多模态算法工程师(模型优化方向)/ Multimodal Algorithm Engineer (Model Optimization)
AMD · Beijing, China · Engineering
About this role
AMD is hiring a senior-level Machine Learning Engineer based in Beijing, China. The posting calls out experience with CUDA, PyTorch, Data Structures, Performance Optimization.
- Role
- Machine Learning Engineer
- Function
- machine learning
- Level
- senior
- Track
- Individual contributor
- Location
- Beijing, China
- Department
- Engineering
- Posted
- Apr 7, 2026
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Job description
from AMD careersWHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
THE ROLE:
We are a core algorithm team at AMD, dedicated to end-to-end AI workload optimization on AMD platforms. We are seeking talented engineers specializing in multimodal foundation models, with a focus on Vision-Language Models (VLMs), Vision-Language-Action Models (VLAs), and World Action Models (WAMs). In this role, you will drive model training, compression, quantization, inference optimization, and efficient deployment—enabling next-generation embodied AI and multimodal agents to achieve peak performance on AMD hardware platforms.
KEY RESPONSIBILITIES:
- Optimize training strategies, fine-tuning, and alignment for multimodal models (VLM / VLA / WAM) on AMD platforms.