Salary: strong>40-60K
Experience requirements: 5-10 years
Educational requirements: PhD or above
Job Description: strong>
Job Responsibilities:
1) Responsible for algorithm requirement assessment, algorithm scheme design, algorithm selection, research and development, optimization, etc. in business scenarios such as electricity, water conservancy, and rail transit
2) Mainly involving computer vision related algorithms and sensor data analysis algorithms
3) Responsible for continuously improving algorithm performance and tracking and resolving issues with high customer feedback
4) Responsible for tackling key and difficult problems in algorithms, as well as developing important algorithm technologies
5) Lead the team to complete the writing of technical documents such as patents, papers, and introductions to algorithm principles
6) Responsible for developing algorithm research and development tools to improve the efficiency of the team's algorithm research and development work
Qualifications for the position:
1) Doctoral degree, graduated from computer science, pattern recognition, mathematics or related majors, with 5 years or more of research and development experience in the field of computer vision. Qualifications for outstanding talents can be relaxed
2) Proficient in C++and Python development skills, with a solid foundation in programming
3) Familiar with mainstream deep learning frameworks, familiar with algorithms related to image classification, object detection, image segmentation, object tracking, keypoint detection, etc
4) Independently responsible for the entire process of deep learning projects, including requirement assessment, algorithm scheme design, algorithm selection, research and development, optimization, etc
5) Familiar with model compression techniques, able to prune, quantify, and distill knowledge from existing models
6) Published papers at conferences or achieved excellent results in competitions, or participated in core product development in large companies
Please send your CV or resume as an attachment to the following email address:
mailto: rbhr@hrcenter.co.uk
With the subject line formatted as: 'Name + Position + Company Name + Location'.