Description
Netflix is the world's leading streaming entertainment service, with over 260 million paid memberships in over 190 countries, enjoying TV series, documentaries, and feature films across various genres and languages. Members can watch or play as much as they want, anytime, anywhere, on any internet-connected screen.
The Search Systems team builds the backend systems that help millions of members globally find and discover content they’ll love via Search, Voice UI, and other interactive experiences in the Netflix product.
The Opportunity:
We are looking for a strong technical lead for the new Search & Recommendations innovation initiative, which is a strategic bet for our business. You will play a highly cross-functional role, partnering with other engineers, product management, machine learning, and data teams to take Netflix’s ML/AI initiatives in the Generative AI and Large Language Models (LLMs) domain to the next level.
If you have a passion for building scalable, robust systems, are interested in pushing the envelope in applying LLMs to advance the state-of-the-art Search & Recommendation experience, and operate in a critical part of the stack that strongly influences what our customers see on their screens, then we want to talk to you.
Netflix is the world's leading streaming entertainment service, with over 260 million paid memberships in over 190 countries, enjoying TV series, documentaries, and feature films across various genres and languages. Members can watch or play as much as they want, anytime, anywhere, on any internet-connected screen.
The Search Systems team builds the backend systems that help millions of members globally find and discover content they’ll love via Search, Voice UI, and other interactive experiences in the Netflix product.
The Opportunity:
We are looking for a strong technical lead for the new Search & Recommendations innovation initiative, which is a strategic bet for our business. You will play a highly cross-functional role, partnering with other engineers, product management, machine learning, and data teams to take Netflix’s ML/AI initiatives in the Generative AI and Large Language Models (LLMs) domain to the next level.
If you have a passion for building scalable, robust systems, are interested in pushing the envelope in applying LLMs to advance the state-of-the-art Search & Recommendation experience, and operate in a critical part of the stack that strongly influences what our customers see on their screens, then we want to talk to you.
What we are looking for:
At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.
The overall market range for roles in this area of Netflix is typically $100,000 - $720,000. This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.
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 details about our benefits here.
Netflix has 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.
