L4 Machine Learning Engineer - Content & Studio

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.

Netflix aspires to “entertain the world” by finding amazing stories and sharing them through a personalized product experience that pleases our members and generates value for the business.

The Content Machine Learning Signals & Ops team within Data Science and Engineering specializes in large-scale MLOps and engineering projects. We are an incubator for innovative ideas dedicated to accelerating development, scaling, and streamlining the path to production for machine learning and other projects. Our mission is to empower scientists by allowing them to focus more on their core science impact and less on the surrounding operational complexities.

For this role, we are looking for an ML engineer with strong familiarity with large-scale machine learning models. You’ll have the opportunity to shape the future of media technology, working with a passionate team in a dynamic and innovative environment.

In this role, you will:

• Collaborate closely with data scientists and engineers to operationalize and maintain machine learning models in production, ensuring high availability, scalability, and performance.

• Develop, implement, and advocate for best practices in model deployment, monitoring, and lifecycle management.

• Work with a wide range of structured and unstructured data, including video, audio, and images.

• Establish robust processes for data backfilling, version control, and automated testing.

• Abstract common workflows into reusable tools and frameworks to accelerate ML-driven insights.

• Partner with Platform teams to design and maintain reliable systems for tracking, auditing, and managing model dependencies and changes.

• Champion excellence in both software engineering and machine learning practices.

• Collaborate with cross-functional teams to uphold high standards for model robustness, transparency, and regulatory compliance.

• Work seamlessly across diverse business domains and with colleagues from varied backgrounds.

• Demonstrated expertise in machine learning operations (MLOps), including model deployment, monitoring, and maintenance.

About you:

• Experience working with large, unstructured data such as video, audio, or images.

• Demonstrated expertise in machine learning operations (MLOps), including model deployment, monitoring, and maintenance.

• Deep understanding of machine learning or data science concepts, including feature engineering, data pipelines, and end-to-end model lifecycle management.

• A Python and SQL pro with experience in ML frameworks like PyTorch, crafting code that's clear, concise, and clean.

• Solid foundation in software engineering principles and best practices.

• Self-motivated, proactive, and comfortable working in a fast-paced, dynamic, and sometimes ambiguous environment.

• Excellent communicator, able to tailor your message to different audiences while maintaining clarity and impact.

• Enthusiastic about and compatible with Netflix culture

Generally, 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 $170K - $720K.
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.

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.