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JOB RESPONSIBILITIES
Research and evaluate the performance of state-of-the-art computer vision with respect to latest deep learning algorithms.
Apply software engineering skills to prototype algorithms to identify challenges for our research.
Learn, collaborate, and network alongside world-class researchers and creators to investigate algorithms; present your findings and contribute to industry leading entertainment technology community.
QUALIFICATIONS
M.S., Ph.D. candidate, or Post-doc in Computer Science, Electrical Engineering, or a related field.
Research background in the area of AI/Machine Learning, Computer Vision, specifically image and video object segmentation and video object tracking.
Strong familiarity with neural network modeling and analysis, formulate optimization flow using PyTorch, TensorFlow or equivalent deep learning framework.
Strong familiarity with Python and/or modern C++ for rapid algorithm prototyping.
Strong familiarity with camera geometry and geometric algebra
Excellent analytical and mathematical skills.
Knowledge and experiences in transformer models
Knowledge and experiences in SOTA model fine tuning techniques
Knowledge and experiences in VFX tools is a plus (Nuke, Silhouette, Adobe photoshop)
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