Research Scientist - Studio Media Algorithms

Job Description

Research Scientist (L4) - Studio Media Algorithms

The Role

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 and TV shows per month to 270+ million members across 190+ countries in 30+ languages. Developing data-driven algorithms and systems to help Netflix creators produce shows and movies in line with their vision is an important part of that mission.

The Studio Media Algorithms team is at the forefront of innovation to enhance and support the vision of creators of movies, TV shows and other multimedia work. This team's work is responsible for increasing member value, and driving efficiency of the content creation process, ultimately creating more joy for viewers all over the world.

We are looking for a Research Scientist with demonstrated experience in computer vision and generative AI to research and develop algorithms and models that enhance the creative tools used in production processes. In this role, you will:
• Design, implement, and evaluate algorithmic solutions for variety of problems in the animation, VFX, and games space
• Pushing forward the state of the art in image and video generation as needed, collaborating with teams developing foundational media generation models
• Expand your technical depth and domain expertise into new/adjacent areas as the business needs and the state of technology evolve
• Contribute to additional components of the machine learning pipeline for the algorithms you develop as they move into production
• Work cross-functionally with engineers, scientists, artists, and product leaders across teams, to navigate ambiguity in identifying and prioritizing opportunities and problem requirements

About you:
• Research experience with a successful track record of delivering quality results and/or academic publications in top ML/CV venues
• Expertise in designing and training deep learning (DL) architectures for image or video generation, with a broad understanding of DL methods and literature, including diffusion models
• Extensive experience with DL frameworks such as Tensorflow or PyTorch
• Great interpersonal skills for collaboration with technical and non-technical partners
• Advanced degree in Computer Science or related field
• Strong programming skills in languages such as Python, Java, or C++

Bonus experience:
• Computer Graphics (familiarity with modern techniques and tools, including VFX and game engines such as Unreal Engine, Unity, Blender, or Nuke)
• 3D vision and reconstruction
• Domain experience in visual effects, games, or animation, and track record of developing tools/solutions in these (or closely relevant) areas, or experience with tools like ComfyUI
• Deep mathematical skills with knowledge of statistical methods and optimization
• Experience with aspects of machine learning engineering, including data pipelines, benchmarking, etc
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 details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Tags: ResearchSite

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.

Jobcode: Reference SBJ-d5v131-3-16-135-112-42 in your application.