Applied Research Scientist - AI Models & Agents
Core
Research and develop training/inference techniques for LLMs, LMMs, image/video generation models, and self-evolving AI agents to push boundaries on scale and performance.
Role type
Senior IC Applied Research Scientist (Generative AI & Agents)
Builds
Efficient and scalable foundation models and self-evolving AI agents optimized for AMD accelerators
Domain
Generative AI, Large Language Models, AI Agents, Hardware Optimization
Deliverable
production ML models
Required skills
Generative AI model architecture design, LLM/LMM training & inference optimization, AI agent development, kernel programming (HIP/CUDA/Triton), distributed training, deep learning frameworks (PyTorch/TensorFlow), state space models, hardware-efficient training
Preferred skills
Self-evolving agent building, open-source contributions, top-tier conference publications, model architecture expertise beyond transformers
Technologies
PyTorch, TensorFlow, HIP, CUDA, Triton, vllm, sglang
Responsibilities
Improve state-of-the-art Generative AI model architectures for AMD accelerators, Accelerate training and inference speed, Build AI agents for code generation and evaluation, Drive infrastructure and development ecosystem improvements, Publish research at top-tier venues, Engage with academia and open-source communities
Seniority
Senior, hands-on IC
