Applied Computer Vision Scientist: Visual Scene Understanding - Honda Research Institute USA

Associate Positions

Honda Research Institute USA (HRI-US) is at the cutting edge of Honda's research and development activities. Inspired by Honda's global slogan - The Power of Dreams - we pursue emerging technologies and bring them into reality to make people happy, even as we are engaged daily in highly scientific, pioneering work. We realize that dreams don't co me from organizations, systems, or money. They come from people, and we seek people who have such challenging spirits to work with us.

Applied Computer Vision Scientist: Visual Scene Understanding

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Applied Computer Vision Scientist: Visual Scene Understanding

Job Number: P20F13
​The position focuses on research and development of computer vision and machine learning algorithms toward understanding of scenes for next generation intelligent mobility systems, including but not limited to applications in automated driving and robotics. The candidate will use state of the art methods in visual scene understanding to tackle challenging problems in multi-agent interaction modeling, explainable and interpretable behavior prediction, and video caption generation.
San Jose, CA
Key Responsibilities

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  • Research and development of video-based computer vision algorithms that enable interpretation and understanding of complex traffic scenes involving high degree of interaction between road users and the environment for various driving assistance technologies
  • Support creation of benchmark datasets for training and evaluation of algorithms, including experiment design, sensor calibration, managing data collection, creating data annotation guidelines, and managing annotation work with outside vendors.
  • Design, development, and integration of software systems and architectures necessary to realize research prototypes
  • Develop and evaluate metrics to verify reliability of proposed algorithms
  • Contribute to a portfolio of patents, academic publications, and prototypes to demonstrate research value

 
Minimum Qualifications

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  • 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
  • Highly proficient in software engineering using C++ and Python
  • 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

 
Bonus Qualifications

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  • Hands-on experience in handling multi-modal sensor data

Alternate Way to Apply

Send an e-mail to careers@honda-ri.com with the following:
- Subject line including the job number(s) you are applying for 
- Recent CV 
- A cover letter highlighting relevant background (Optional)

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