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PhD Research Intern, AI for Gaming - Summer 2024

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Nov 19

🚀 Summer Internship

San Francisco +5

💻 Remote

AI generated summary

  • The candidate must be currently enrolled in a PhD program in CS/Engineering, have a strong research record in machine learning or gaming, excellent Python programming skills, and the ability to convey research ideas effectively. Knowledge of large datasets, multi-node multi-GPU training, human behavior, and a passion for gaming are all strong pluses.
  • The PhD Research Intern will lead cutting-edge AI research and implementation for gaming, publish and present findings, collaborate with teams and external researchers, and transfer technology to relevant product groups.

Summer Internship

Software EngineeringSan Francisco, Los Angeles, San Diego, San Jose, Santa Ana, Glendale


  • NVIDIA is hiring a highly-skilled researcher in AI for gaming to join our research team. You will be conducting original research for AI for gaming, including modeling human gaming performance and behavior, perception of gaming scenes, or general intelligence that can play a wide breadth of game genres or titles. You will be building research prototypes and scaling them with large datasets and compute. After building prototypes that demonstrate the promise of your research, you will work with product teams to help them integrate your ideas into products. You will summarize your research findings in extremely high-quality scientific publications.


  • Currently enrolled in a PhD degree in Computer Science/Engineering, or a related field. Strong knowledge of machine learning theory and gaming with enough depth and breadth.
  • A strong research record with publications in top machine-learning or gaming conferences.
  • Excellent programming skills in Python and familiarity with deep learning libraries and workflows.
  • Strong communication skills and ability to convey research ideas to a broad audience.
  • Knowledge and experience in managing large datasets is a strong plus.
  • Experience with multi-node, multi-GPU training is a strong plus.
  • Knowledge of human behavior and passion toward gaming are strong pluses.

Education requirements

Currently Studying

Area of Responsibilities

Software Engineering


  • Define your research, design and implement cutting-edge machine learning techniques.
  • Publish your original research and present at top-tier conferences and events.
  • Collaborate with other research team members, a diverse set of internal product teams, and external researchers.
  • Have a broader impact through transfer and/or open-source of the technology you've developed to relevant product groups.


Work type

Full time

Work mode



San Francisco, Los Angeles, San Diego, San Jose, Santa Ana, Glendale