Vision‑Language‑Action (VLA) Research Intern

Bosch Group•Sunnyvale, CA
•$60 - $70

About The Position

As a Research Intern for World-Action Models / VLA for Autonomous Driving, you will contribute to research projects at the forefront of the ADAS/AD industry. You will work at the intersection of VLAs, generative modeling, and world models, contributing to research that advances scalable autonomy. You will collaborate closely with other researchers, and strong work is expected to lead to top-venue publications and/or product impact.

Requirements

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