Senior Deep Learning Engineer in Computer Vision
Palo Alto, California, United States
OPPO Research Center
OPPO US AI Lab is seeking a self-motivated Deep Learning engineer to work on applied computer vision research projects. The candidate will have good opportunity to conduct cutting-edge research to solve real-world problems and help developing the technologies that power future OPPO products. The candidate will work closely with both deep learning researchers and engineering teams to develop AI algorithm prototypes and deliver efficient implementation on target OPPO product platforms.
Duties and responsibilities
Research and develop deep learning algorithms on computer vision and image/video processing that achieve state-of-the-art results
Develop robust and efficient algorithms that satisfy product level requirements
Implement algorithms within specific hardware and performance constraints
Requirements
Minimum Qualifications:
PhD candidate in Computer Science, Electrical Engineering, Computer Engineering or related fields such as Physics and Mathematics
Solid background in deep learning algorithms and optimization techniques
Familiarity with common deep learning frameworks such as Pytorch, Tensorflow and Caffe
Strong background in computer vision and machine learning basics
Strong programming skills in Python, C/C++ and Java, etc.
Preferred Qualifications:
Research experience on image and video processing (feature learning/fusion, video understanding or enhancement), semantic segmentation and detection
Have knowledge on self-supervised or weakly supervised learning, depth estimation and 3D geometry
Good publication record at top-tier ML conferences (CVPR, ICCV, ECCV, etc) and/journals
Strong problem solving skills
Benefits
Health Insurance
Vision/Dental
Retirement Plan
PTO
Tags: C++ Caffe Computer Science Computer Vision Deep Learning Engineering Machine Learning Mathematics PhD Physics Python PyTorch Research TensorFlow
Perks/benefits: Career development Conferences Health care
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