Computer Vision Scientist: Visual Scene Understanding

Computer Vision Scientist: Visual Scene Understanding

Job Number: P19F05
The position focuses on research and development of computer vision and machine learning algorithms toward the understanding of scenes and prediction of behavior for next-generation intelligent mobility systems. The goal is to determine the relative importance of agents and objects in navigation by interpreting the detailed semantics of visual scenes through explicit modeling of objects/agents, their attributes, relationships to other objects/agents and the environment, intention, and future destination.
San Jose, CA


Key Responsibilities:

  • Research and development of video-based computer vision algorithms that enable interpretation and understanding of complex traffic scenes involving a high degree of interaction between road users and the environment for various driving assistance technologies
  • Research and development of supervised and unsupervised mechanisms (e.g. attention) that identify “important agents” that potentially influence the ego-vehicle’s future trajectory and the driver’s decision-making process
  • Design, development, and integration of software systems and architectures necessary to realize research prototypes
  • Develop and evaluate metrics to verify the reliability of proposed algorithms
  • Contribute to a portfolio of patents, academic publications, and prototypes to demonstrate research value


  • Ph.D. or M.S. in computer science, electrical engineering, or related field
  • Strong familiarity with machine learning techniques pertaining to visual scene understanding
  • Familiarity with scene modeling and interpretation using spatiotemporal graphs, scene graphs, graph convolution networks, or similar graphical modeling techniques
  • Experience in open-source Deep Learning frameworks such as TensorFlow or Pytorch preferred
  • Highly proficient in software engineering using C++ and Python
  • Hands-on experience in handling multi-modal sensor data preferred
  • Strong written and oral communication skills including development and delivery of presentations, proposals, and technical documents
  • Strong publication record in computer vision or machine learning

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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