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Netflix Research Scientist - Studio Media Algorithms United States, California 23585216
23.06.2024
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In this role, you will:
- Design, implement, and evaluate algorithmic solutions for variety of problems in the VFX, animation, and games space, pushing forward the state of the art in CG and CV as needed.
- Developing foundational ML models and methods with one-to-many applications, contributing to our core focus areas in media algorithms.
- Work cross-functionally with engineers, scientists, artists, and product leaders across teams, to help identify and prioritize opportunities and problem requirements.
- Provide input to the design of our AI platform.
About you:
- Research experience with a successful track record of delivering quality results and/or academic publications in top ML, CV, CG, or NLP venues.
- Expertise in designing and training deep learning (DL) architectures for media understanding and generation with a broad understanding of DL methods and literature.
- Familiarity with modern computer graphics techniques.
- Deep mathematical skills with knowledge of statistical methods and optimization.
- Extensive experience with DL frameworks such as Tensorflow or PyTorch.
- Strong programming skills in languages such as Python, Java, or C++.
- Great interpersonal skills for collaboration with technical and non-technical partners.
- Advanced degree in Computer Science or related field.
Bonus experience:
- Cutting-edge work on modern generative methods and their building blocks.
- Domain experience in visual effects, games, or animation, and track record of developing tools/solutions in these (or closely relevant) areas.
- Computer graphics and VFX tools and game engines such as Unreal Engine, Unity, Autodesk Maya, or Nuke.
- 3D vision and reconstruction.
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000.
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