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Home » Netflix Internships Summer 2023 – Computer Graphics In Los Gatos

Netflix Internships Summer 2023 – Computer Graphics In Los Gatos

    Website Netflix

    Job Description:

    Are you passionate about doing research on groundbreaking computer vision and graphics algorithms which impact how Netflix produces its growing catalog of original content? We strive to delight our 200+ million members worldwide with high-quality, diverse, and engaging content, meaningful personalized content recommendations, and an optimized user interface. Developing data-driven tools through algorithmic innovation to help our creators in Netflix Studio produce content effectively and efficiently is an important part of that mission.

    Job Responsibilities:

    • Conceptualizing, designing, implementing, and validating algorithmic solutions for variety of problems in the
    • VFX and animation space, pushing forward the state of the art in CG and CV as needed
    • Define metrics and conduct experiments to evaluate the algorithms in the production systems, in collaboration with our partner teams
    • Provide input to the design of our AI platform
    • Work cross-functionally with engineers, scientists, artists, and product leaders across teams, to help identify and prioritize opportunities and problem requirements

    Job Requirements/Qualifications:

    • Strong programming skills in languages such as Python, Java, or C++
    • Expertise designing and training novel deep learning (DL) architectures for CV/CG with a broad understanding of DL methods and literature.
    • MS (PhD preferred) in Computer Science or related field
    • Deep mathematical skills with knowledge of statistical methods and optimization
    • 5+ years of research experience with a successful track record of delivering quality results and/or academic publications in top CV, CG, or ML venues
    • Experience with DL frameworks such as Tensorflow, Keras, or PyTorch
    • Familiarity with modern computer graphics techniques
    • Great interpersonal skills for collaboration with technical and non-technical partners
    • Expertise in machine learning spanning supervised and unsupervised learning methods, and applying ML to real-world problems

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