Netflix Looking for ML Software Engineer (L4/L5) – Media Algorithms at Los Angeles, CA Full Time

Netflix is one of the world’s leading entertainment services, with 283 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 and Eyeline Research teams are at the forefront of innovation to enhance and support the vision of creators of movies, TV shows and other multimedia content at Netflix. Our work is aimed at increasing member value and driving efficiency of the content creation process, ultimately bringing more joy to viewers worldwide.

We are seeking an experienced Machine Learning Software Engineer to join our team of world-class researchers. You will work closely with the scientists at the Eyeline Research team, and design and develop scalable systems and infrastructure that enable researchers to create and deploy AI/CV/graphics algorithms for use by studio/content creators and stakeholders.

In This Role, You Will

• Design and develop systems and reusable frameworks for the full cycle of ML/AI R&D in the multimedia domain, including data processing, efficient distributed model training with GPUs, and deploying models into creator workflows and production systems.
• Collaborate cross-functionally with research scientists, product managers, and creative and business partners to define and prioritize system requirements.
• Work closely with ML/CV/Graphics researchers and Studio teams to productionize algorithms and models, and efficiently run human-in-the-loop inference tasks.
• Participate in model development and propose scalable designs.
• Champion and facilitate software engineering best practices within the team.

About You

• Proven experience in software engineering within a production environment, including proficiency in object-oriented programming (Python, Java, or C++), CI/CD, etc.
• Familiarity with ML, CV, GenAI, and/or graphics pipelines, and experience with distributed data processing systems.
• Proficient in cloud infrastructure, including S3, Docker containers.
• Basic understanding of (multi) GPU training and inference for debugging and performance assessment, and CUDA runtime.
• Passionate about transforming ideas into products and enhancing user experience.
• Excellent communication and interpersonal skills, with a strong ability to navigate ambiguity.

Bonus Experience

• Experience building end-to-end multimedia systems and algorithms.
• Deep experience with AWS and understanding of FSx.
• Proficiency with deep learning frameworks such as PyTorch and TensorFlow.
• Experience in the content creation domain, such as visual effects or animation.
• Familiarity with generative models and tools, such as diffusion-based models and ComfyUI.
• Knowledge of graphics and VFX tools and/or game engines, such as Unreal, Houdini, 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 $150,000 – $750,000.

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.