Applied Scientist, Generative Videos

Key Skills

Aartificial intelligence, Algorithms, Common data structures, Deep Learning, Design, Machine learning techniques, PyTorch, TensorFlow, Video processing/compression

Job Description

Responsibilities

• Conduct research and develop models to advance the state-of-the-art in generative video technologies, focusing on areas such as video in-painting, super resolution, text-to-video conversion, background removal, and neural background rendering.

• Design and develop advanced neural network models tailored for generative video applications, exploring innovative techniques to manipulate and enhance video content for storytelling purposes.

• Explore new areas and techniques to enhance video storytelling, including research into novel generative approaches and their applications in video production and editing.

• Create tools and systems that leverage machine learning, artificial intelligence, and computational techniques to generate, manipulate, and enhance video content, with a focus on usability and scalability.

Preferred Qualifications

• PhD in computer science or related field or 3+ years of industry experience

• Publication Record: Highly relevant publication history, with a focus on generative video techniques and applications. Ideal candidates will have served as the primary author on these publications.

• Video Processing Skills: Strong understanding of video processing techniques, including video compression, motion estimation, and object tracking, with the ability to apply these techniques in generative video applications.

• Expertise in Deep Learning: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar, with hands-on experience in designing, training, and deploying neural networks for video-related tasks.

• Strong understanding of Computer Science fundamentals (algorithms and data structures).

Benefits:

• Comprehensive medical, dental, and vision plans

• Anything you need to do your best work

• We’ve done team off-sites to places like Paris, London, Park City, Los Angeles, Upstate NY, and Nashville with more planned in the future.

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