PhD Gen AI & RL Research Intern — Hybrid

Advanced Micro Devices; Santa Clara (CA); On-site; USD 39,000 - 58,000; Part time

Benefits offered by this job

AMD benefits at a glance

Job summary

Advanced Micro Devices (AMD) invites applications for an AI Research Intern in Santa Clara, CA, for Summer 2027. You will work on post-training methods for large generative models, RL-based optimization, and agentic system experiments alongside expert researchers.

The role emphasizes reproducible experiments, model evaluation, and collaboration with training/infrastructure teams. Candidates pursuing a PhD in CS/ML/EE with strong Python/PyTorch skills will fit well.

Qualifications

• Pursuing a PhD in CS, ML, AI, EE, or related field.
• Strong knowledge of reinforcement learning and modern deep-learning methods.
• Experience implementing/evaluating models with Python and PyTorch.
• Familiarity with LLM post-training, RLHF/RLAIF, preference optimization, or language/multimodal agents.
• Experience with reproducible experiments and analyzing results.

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 with verifiable feedback.
• Analyze failure modes like reward hacking and training instability.
• Develop evaluations for model quality, robustness, safety, and real-world task performance.
• Collaborate with research and infra teams on training, rollout, logging, and reproducibility.
• Document findings and contribute to technical reports/publications.

Skills

Reinforcement learning

Deep learning

Python

PyTorch

Experimental analysis

Publications (preferred)

Education

PhD in Computer Science/ML/related field

Tools

Python

PyTorch

Job description

Advanced Micro Devices (AMD) invites applications for an AI Research Intern in Santa Clara, CA, for Summer 2027. You will work on post-training methods for large generative models, RL-based optimization, and agentic system experiments alongside expert researchers.

The role emphasizes reproducible experiments, model evaluation, and collaboration with training/infrastructure teams. Candidates pursuing a PhD in CS/ML/EE with strong Python/PyTorch skills will fit well.