Position Details
About this role
This role focuses on enabling scalable and efficient training and inference for Generative AI models, including large language and multimodal models, leveraging state-of-the-art algorithms and frameworks.
Key Responsibilities
- Develop scalable training/inference techniques
- Optimize generative AI models
- Collaborate on software frameworks
- Innovate low-precision training
- Work with open-source AI community
Technical Overview
The technical environment includes Generative AI architectures, large language models, distributed training techniques, and frameworks like PyTorch, JAX, and Hugging Face, optimized for AMD hardware.
Ideal Candidate
The ideal candidate is a senior AI engineer with expertise in generative AI, large language models, and scalable training/inference techniques. They are passionate about innovating in AI model training and inference at scale, with experience working on cutting-edge frameworks like PyTorch, JAX, and Hugging Face.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with generative AI or LLMs, No experience with model training/inference at scale, Unable to work with PyTorch, JAX, or Hugging Face
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