Summer 2027 PhD Gen AI and Reinforcement Learning Research Intern
Santa Clara, CA$91.5kUNAVAILABLEPosted 4w ago
About the role
PhD-level AI research internship at AMD focusing on post-training methods for large generative models, RL, and agentic systems. Full-time onsite summer internship in Santa Clara, CA, with research collaboration and potential publications.
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.
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 machine-learning or computer-vision conferences—such as ICML, NeurIPS, ICLR, CVPR, ICCV, or ECCV—are preferred.
- Experience with large-scale model training, GPU computing, or distributed systems is beneficial.
- Familiarity with generative AI, multimodal learning, reasoning models, code models, or agentic systems is a plus.
Skills
Required:Generative models (post-training methods)Reinforcement learningPythonPyTorchExperiment design & reproducibility
Benefits
- AMD benefits at a glance
Last updated Oct 22, 2026. Interested? Apply on the company site.
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