PhD AI Research Intern: Generative AI & RL

AMD; Santa Clara (CA); Hybrid; USD 34,000 - 55,000; Full time

Job summary

AMD invites PhD candidates to join our AI Research internship in Santa Clara for Summer 2027. You will work on post-training large generative models, reward modeling, and policy optimization while collaborating with research and infrastructure teams.

The role emphasizes reproducible experiments, documentation, and publications that advance AI capabilities. The internship is full-time, onsite or hybrid, lasting May/June through August/September 2027, offering practical experience in a leading AI

Qualifications

• Must be currently pursuing a PhD in Computer Science, Machine Learning, Artificial Intelligence, Electrical or Computer Engineering, or a related field.
• Strong knowledge of reinforcement learning and modern deep-learning methods.
• Experience implementing and evaluating machine-learning models using Python and PyTorch.
• Familiarity with LLM post-training, RLHF/RLAIF, preference optimization, or language and multimodal agents.
• Experience conducting reproducible experiments and analyzing empirical results.
• Publications at leading ML/vision conferences preferred (ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV).
• Experience with large-scale model training, GPU computing, or distributed systems beneficial.
• Familiarity with generative AI, multimodal learning, reasoning models, code models, or agentic systems is a plus.

Responsibilities

• Research and prototype methods for post-training large generative models.
• Explore policy optimization, preference learning, reward modeling, exploration, and credit-assignment techniques.
• Develop methods for improving reasoning, code generation, tool use, and agentic behavior.
• Design and run controlled experiments using verifiable, preference-based, or model-generated feedback.
• Analyze failure modes such as reward hacking, policy degeneration, and training instability.
• Develop evaluations that measure model quality, robustness, safety, and real-world task performance.
• Collaborate with research and infrastructure teams on training, rollout generation, logging, and reproducibility.
• Document findings and contribute to technical reports and publications.

Skills

Reinforcement learning

Deep learning

Python

PyTorch

LLM post-training

Experiment design

GPU computing

Distributed systems

Education

PhD in CS/ML/AI/EE or related field

Job description

AMD invites PhD candidates to join our AI Research internship in Santa Clara for Summer 2027. You will work on post-training large generative models, reward modeling, and policy optimization while collaborating with research and infrastructure teams.

The role emphasizes reproducible experiments, documentation, and publications that advance AI capabilities. The internship is full-time, onsite or hybrid, lasting May/June through August/September 2027, offering practical experience in a leading AI