Job Description:
We are looking for a capable and experienced Sr. Computer vision and Algorithms Engineer to join our R&D team.
The engineer will work on devising, developing, and integrating novel vision-based algorithms at the heart of our autonomous driving system.
This is an opportunity to work on cutting-edge methods, develop and innovate new ideas, and see them deployed on the road in our autonomous vehicles.
In this role, you will be leading the development of our next-generation object-tracking technology, which will have a significant impact on the performance of our autonomous driving technology. To accomplish this, you'll need to combine your expertise in multiple fields, including computer vision, physics, signal processing, and mathematics. You will solve challenging problems in multi-object tracking by using state-of-the-art algorithms.
Responsibilities:
" Leading the development of the new tracking technology.
" Designing, training and optimizing novel computer vision algorithms.
" Taking an End-to End responsibility over medium to long-term projects
" Seeing projects through from research to deployment.
" Devising and implementing performance metrics.
" Supervising complex data pipelines, from the collection stage, through annotation, to training models.
" Communicating, presenting and visualizing results
" Aligning the algorithms with the product needs.
Job Qualifications:
" M.Sc. or equivalent work track experience in CS, EE, Physics, or other quantitative field from a leading university. Ph.D. - Advantage
" A proven track record of at least 3 years hands-on experience in developing multi-object tracking algorithms in computer vision, including tracking dynamic objects.
" Experience/knowledge in computer vision and image manipulation algorithms
" Knowledge of state-of-the-art multi-object tracking algorithms and techniques used by the industry in computer vision.
" In-depth understanding of Kalman filter and its applications for multi-object-tracking.
" Proficiency in C++ and Python.
" Knowledge in Signal processing and estimation theory.
" Strong mathematical aptitude, with emphasis on probability, linear algebra, vector algebra, and geometry.
" Experience in conducting long-term development and/or research projects, in either academia or industry
Company Occupation:
High Tech
Company Size:
Small (0 - 50)