Computer Vision Scientist / C++ / Python / ROS / Deep Learning
We are seeking world-class Computer Vision experts to join our team in developing next generation products and platforms doing research and engineering at scale. We're applying cutting-edge computer vision algorithms to a wide range of media understanding challenges.
RESPONSIBILITIES:
• Develop novel and accurate computer vision algorithms and systems, leveraging deep learning and machine learning on big data resources.
• Analyze and improve efficiency, scalability, and stability of various deployed systems.
• Collaborate with team members from the level of prototyping to the level of production.
MINIMUM QUALIFICATIONS:
• 5+ years of experience in building, leading and specializing in commercial computer vision projects from the level of researching a prototype to the level of production.
• Experience in C/C++ and Python rapid programming on Linux OS.
• Experienced with training neural networks for computer vision tasks such as classification, semantic segmentation, object detection, etc.
• Experience with one or more learning frameworks such as PyTorch, TensorFlow, Caffe2.
• Software engineering experience with knowledge of the software lifecycle that includes testing, version control and shipping code.
• PhD/MS with experience in Computer Vision and publications in conferences in the fields of machine learning, deep learning and/or computer vision.
PREFERRED QUALIFICATIONS:
• Candidates with experience developing novel algorithms in the following will be given extra consideration:
• Deep adversarial networks, image and video forensics.
• Cross domain adaptation for rapid model transfer across domains.
• Transfer learning including zero shot learning, attribute learning, and knowledge graphs.
• Deep graphical modeling.
• Explainability in computer vision and AI such as image and video captioning, and causal reasoning.
• Experienced with the development of enterprise level AI, machine learning and deep learning platform involving big data management and GPU compute.
If interested, please send your resume to