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Machine Learning Scientist (L4) - Studio Media Algorithms - Remote

Posted Yesterday
Software Development
Full Time
USA
$170,000 - $720,000/year

Overview

Netflix is looking for a Research Scientist to enhance content creation through innovative machine learning algorithms, focusing on generative computer vision and related fields.

In Short

  • Research and prototype algorithms for multimedia machine learning.
  • Design, train, and evaluate algorithmic solutions in computer vision.
  • Collaborate with engineers, product managers, and creative partners.
  • Expand technical expertise into new areas as technology evolves.
  • Deliver quality results and contribute to academic publications.
  • Familiarity with generative model architectures like diffusion models.
  • Experience with data curation and distributed training.
  • Strong programming skills in Python, Java, or C++.
  • Advanced degree in Computer Science or related field.
  • Industry experience in content creation is a plus.

Requirements

  • Demonstrated experience in generative computer vision or related areas.
  • Expertise in designing and training deep learning architectures.
  • Extensive experience with deep learning frameworks.
  • Great interpersonal skills for collaboration.
  • Bonus: experience with tools for generative models and graphics.

Benefits

  • Competitive annual salary with stock options.
  • Diversity and inclusion are core values at Netflix.
  • Opportunity to work on cutting-edge technology.
  • Support for accommodations during the hiring process.
  • Open position for no less than 7 days.

Netflix

Netflix

Netflix Global is a leading entertainment service provider with 278 million paid memberships across over 190 countries, offering a diverse range of TV series, films, and games in various genres and languages. The company prioritizes a seamless viewing experience, allowing members to watch content anytime, anywhere, with flexible subscription plans. The N-Tech Systems Engineering team at Netflix is dedicated to enhancing employee collaboration and productivity by developing technical solutions that streamline workflows and reduce friction. With a commitment to innovation and a unique company culture that values diversity and inclusion, Netflix aims to entertain the world by providing access to high-quality content in more than 30 languages.

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