Your application is being processed
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 |
- 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 |
- 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 |
- 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)
Please, do not contact our office to inquiry about your application status.
