Machine Learning Scientist (L4/L5) - Studio Media Algorithms

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Studio Media Algorithms team is at the forefront of innovation to enhance and support the vision of the 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. To learn more about the domain, here are some links related to what we do: Creating Media with Machine Learning and Computer Vision Research at Netflix.

We are looking for a Research Scientist with demonstrated experience in computer vision (CV) and/or related areas such as natural language processing (NLP) or computer graphics (CG) to research and develop core algorithms and models that will be incorporated into the tools used by content creators throughout the production lifecycle, including live action, animation, and games.

In this role, you will:

• Design, train/post-train/fine-tune, and evaluate foundational algorithmic solutions with applications in a variety of domains in the VFX, animation, and games space, pushing forward the state of the art in CV as needed

• Develop reusable foundational components and best practices, such as dataset curation, large-scale training, and post-training processes, which can be used by other scientists and engineers across teams

• Work cross-functionally with engineers, scientists, artists, and product leaders to help identify and prioritize strategic research investment opportunities and problem requirements

• Expand technical depth and domain expertise into new/adjacent areas as the business needs and the state of technology evolve

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

• Deep familiarity with modern generative model architectures, including diffusion models (e.g., MMDiT) and/or autoregressive models (e.g., GPT-style).

• Experience with the full stack of model development: data curation, annotation/captioning, distributed training, post-training techniques (e.g., fine-tuning, RL), and/or robust evaluation.

• Expertise in designing and training deep learning (DL) architectures for media understanding and generation, with a broad understanding of DL methods and literature

• 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

• Expertise in 3D vision and/or graphics

• Domain experience in content production, such as live action, games, or animation, and a track record of developing tools/solutions in these (or closely relevant) areas

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.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity 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.

Job is open for no less than 7 days and will be removed when the position is filled.