Location: Los Gatos, CA
At Netflix, our mission is to entertain the world by connecting our members to an extensive library of amazing stories from all over the globe. We are revolutionizing storytelling as we deliver billions of hours of movies, TV shows, and games per month to 200+ million members across 190+ countries in 30+ languages. Developing data-driven algorithms and systems to help our creators in the Netflix studios produce content effectively and efficiently is an important part of that mission.
The Studio Media Algorithms team is at the forefront of algorithmic innovation to enhance and support the creation of movies, TV shows, games, and other multimedia content. This team’s work is responsible for unlocking new creative possibilities for storytellers and driving efficiency of the content creation process, ultimately bringing more joy to viewers all over the world.
We are looking for a Research Scientist with demonstrated experience in deep machine learning and one or more of computer vision (CV), natural language processing (NLP), and computer graphics (CG) to research and develop algorithms and models to enhance the tools used by content creators throughout the production lifecycle, including visual effects (VFX), animation, and games.
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.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits
here.
Netflix is a unique culture and environment. Learn more
here.
We are an equal opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
