Machine Learning Scientist (L4) - Studio Media Algorithms

Netflix • Full-time • Remote • $170k - $720k / year • 1m ago

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 generative computer vision (CV) and/or related areas such as computer graphics (CG) to research and develop algorithms and models that will be incorporated into the tools used by content creators throughout the production lifecycle.

In this role, you will:

Research and prototype reusable algorithms for the full cycle of machine learning in the multimedia domain, such as data processing, feature extraction, distributed model training with GPUs, and deploying the produced models into production
Design, train/post-train/fine-tune, and evaluate algorithmic solutions with applications in a variety of domains, pushing forward the state of the art in CV as needed
Collaborate cross-functionally with machine learning engineers, product managers, as well as creative and business partners and stakeholders, to help define research directions
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, or CG venues
Deep familiarity with modern generative model architectures, including diffusion models and/or autoregressive models
Experience with the full stack of model development: data curation, annotation/captioning, distributed training, post-training techniques, and/or robust evaluation.
Expertise in designing and training deep learning (DL) and diffusion architectures for media generation, with a broad understanding of DL methods and literature
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
Industry experience in the content creation domain, such as animation, games, or visual effects, and a track record of developing tools/solutions in these (or closely relevant) areas
Experience with tools for generative models, such as ComfyUI
Computer graphics and VFX tools and game engines such as Unreal Engine, Unity, Maya, or Nuke

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.