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About The Position

As a Research Intern for World-Action Models / VLA for Autonomous Driving, you will contribute to research projects in the ADAS/AD industry. The role focuses on the intersection of vision-language-action models, generative modeling, and world models, with research aimed at scalable autonomy. You will collaborate closely with other researchers; strong work is expected to contribute to top-venue publications and/or product impact.

Requirements

  • Be a currently enrolled Ph.D. student in Computer Science, Robotics, Computer Engineering, or a related field.
  • Have a minimum GPA of 3.0.
  • Have hands-on experience with at least one of the following: generative models (diffusion, autoregressive transformers, or VAEs), world models or video prediction, or end-to-end autonomous driving.
  • Have solid fine-tuning skills and proficiency with deep learning frameworks.
  • Have experience with reinforcement learning and/or model-based planning.

Nice To Haves

  • Publication record in top venues, including CVPR, ICCV, ECCV, ICLR, NeurIPS, and ICML.
  • Familiarity with driving benchmarks such as NavSim and Bench2Drive.
  • Experience with large-scale distributed training and multi-modal or video data pipelines.
  • Ability to work independently, with strong research and problem-solving skills.
  • Good communication and teamwork skills.

Responsibilities

  • Design and train world-action models, including autoregressive or diffusion-based models, that predict future sensor observations or latent states conditioned on ego actions.
  • Integrate world models with planning for end-to-end or model-based driving policies.
  • Summarize research findings in high-quality paper and/or patent submissions.
  • Collaborate closely with other researchers.

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What This Job Offers

Job Type

Full-time

Career Level

Intern

Education Level

Ph.D. or professional degree

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