Were looking for a Computer Vision Research Scientist to join our amazing growing team where each team member makes an impact.
Responsibilities:
Conduct research and development in computer vision and image processing
Design, implement, and integrate computer vision and machine learning algorithms and prototypes and assist in the transition into products and services
Interact with and support multiple research teams ranging from research scientists to engineers to manufacturing and retail
Work between multiple business units and sub business units including managing meeting flows, presenting data, building, and maintaining relationships.
integrate the latest high impact ML and AI technologies into our process.
Responsibilities:
Conduct research and development in computer vision and image processing
Design, implement, and integrate computer vision and machine learning algorithms and prototypes and assist in the transition into products and services
Interact with and support multiple research teams ranging from research scientists to engineers to manufacturing and retail
Work between multiple business units and sub business units including managing meeting flows, presenting data, building, and maintaining relationships.
integrate the latest high impact ML and AI technologies into our process.
Requirements:
Must have:
Practical experience in research of AI models, e.g. transformers, diffusion models, VAE/GAN.
Real passion and experience in AI generative area
Ph.D. in a related area, e.g. Computer Vision, Computer Graphics, VR/AR/MR.
Relevant experience to the position such as post-doctoral roles, a proven track record of publications from conferences e.g. Siggraph, ICCV, CVPR, ECCV, AAAI, NIPS.
Experience with machine learning or deep learning models, such as CNNs, RNNs and GANs.
Familiarity with computer vision libraries and machine learning framework, such as OpenCV, PyTorch, and TensorFlow.
Masters or PhD degree in computer science, electrical engineering, computer engineering, mathematics or other related field
Minimum 4 years of hands-on experience in research, engineering, or research & development
Proficiency in Python and C++
Minimum 4 years of experience with computer vision techniques such as object recognition, segmentation, classification, and tracking.
Must have:
Practical experience in research of AI models, e.g. transformers, diffusion models, VAE/GAN.
Real passion and experience in AI generative area
Ph.D. in a related area, e.g. Computer Vision, Computer Graphics, VR/AR/MR.
Relevant experience to the position such as post-doctoral roles, a proven track record of publications from conferences e.g. Siggraph, ICCV, CVPR, ECCV, AAAI, NIPS.
Experience with machine learning or deep learning models, such as CNNs, RNNs and GANs.
Familiarity with computer vision libraries and machine learning framework, such as OpenCV, PyTorch, and TensorFlow.
Masters or PhD degree in computer science, electrical engineering, computer engineering, mathematics or other related field
Minimum 4 years of hands-on experience in research, engineering, or research & development
Proficiency in Python and C++
Minimum 4 years of experience with computer vision techniques such as object recognition, segmentation, classification, and tracking.
This position is open to all candidates.
