Software Engineer 4 - 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 by sharing those stories 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.

We are looking for a highly motivated software engineer passionate about creating efficient, scalable solutions that enhance productivity and innovation.

In this role, you will:

• Craft cutting-edge tools that empower users across our core pillars: (1) holistic ML project development (velocity and resilience) (2) human centric UX tooling (3) seamless team collaboration and onboarding.

• Transform common patterns into powerful abstractions that supercharge machine learning and data science workflows.

• Champion best practices in software engineering and machine learning.

• Identify opportunities for leverage with GenAI.

• Collaborate with machine learning scientists and other engineers to ideate, incubate, and integrate solutions you develop.

• Work seamlessly across diverse business domains and backgrounds.

About you:

• Strong foundation in software engineering principles.

• Passionate about and fluent in applications of GenAI technologies for developer productivity.

• Familiarity with machine learning or data science, including data pipelines, and model lifecycle management.

• Python and SQL pro, crafting code that's clear, concise, and clean.

• Self-motivated to build. Willingness to work in a fast-paced, demanding, and nebulous environment.

• Strong communication skills, with ability to calibrate the level of detail in your presentations to your audience while maintaining accuracy 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 $100 - $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.