Netflix is one of the world’s leading entertainment services with 278 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 Role

At Netflix, our mission is to entertain the world by connecting our members to an extensive library of stories from all over the globe. We are revolutionizing international storytelling as we deliver billions of hours of movies and TV shows per month to 280+ million members across 190+ countries in 30+ languages. 

The Globalization Data Science and Engineering team is at the forefront of removing language barriers and providing a stellar member experience to all our members regardless of their language preferences. We are responsible for the translation and cultural adaptation of all aspects of member interaction, including beautiful localized user interfaces, subtitles, and dubbing of award-winning Netflix originals.

We are looking for an experienced Research Scientist with established track records in generative speech technologies to develop algorithms that power high quality localization at scale. In this rare opportunity, you will have the chance to conduct cutting-edge Machine Learning research to help enhance localization and global entertainment at Netflix. You will partner with a talented cross-functional team of scientists, engineers, product managers, and domain experts to deliver business impact.

Responsibilities

Research, develop and productize cutting-edge generative speech technologies

Partner closely with other ML scientists and engineers to integrate work into business applications

Act as domain expert and thought leader in identifying new research opportunities with significant business impact

Present your research to all levels of the company clearly and concisely

About you

Proven track record of conducting cutting-edge research in generative speech technologies, demonstrated by publications in top-tier conferences or journals

MS or PhD in ML, Computer Science or related fields

Familiarity with common ML and DL frameworks such as PyTorch or Tensorflow

Exceptional communication and collaboration skills

Comfortable with ambiguity; able to take ownership, and thrive with minimal oversight and process

Netflix culture resonates with you

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.

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.

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

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