[Computer Vision] Multi-Agent Relational Reasoning in Driving Scenarios

[Computer Vision] Multi-Agent Relational Reasoning in Driving Scenarios

Job Number: P20INT-40
The title includes multiple positions, which focus on developing computer vision and machine learning algorithms for analysis, prediction, and understanding of human behavior in various domains to support ongoing research on next-generation intelligent mobility systems.
San Jose, CA

You are expected to: 

  • Trajectory prediction
  • Social interaction modeling
  • Important agent identification
  • Intention prediction
  • Uncertainty estimation and quantification


  • Ph.D. or highly qualified M.S. candidate in computer science, electrical engineering, or related field.
  • Strong research experience in computer vision, machine learning, robotics.
  • Experience in open-source deep learning frameworks such as TensorFlow or PyTorch.

Bonus Qualifications:

  • Hands-on experience in one or more of the following: graph neural networks, graph convolutional networks, probabilistic neural networks, deep generative models (GAN/VAE), reinforcement learning.
  • Publications in top-tier conferences (CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, ICRA, IROS, etc.).

Duration: 3 months

How to apply

Candidates must have the legal right to work in the U.S.A.​ Please add Cover Letter and CV in the same document

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