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Netflix Ai Jobs (NOW HIRING)

Netflix

Machine Learning Scientist 5 - Sales, Ads DSE

$466K - $750K/yr

... Netflix's ad sales business operates, using data science, AI, and machine learning to help sellers work smarter, close more deals, and scale Ads revenue without scaling headcount at the same pace.

Netflix

Senior Design Director, Member XD

Los Gatos, CA · On-site

... AI, and ensuring each member's experience on Netflix reflects what they truly value. ABOUT YOU You'll lead a lean remote design organization of seasoned designers, while partnering closely with cross ...

Netflix

OR

$466K - $750K/yr

... Netflix's ad sales business operates, using data science, AI, and machine learning to help sellers work smarter, close more deals, and scale Ads revenue without scaling headcount at the same pace.

Netflix

Machine Learning Scientist 5 - Sales, Ads DSE

$466K - $750K/yr

... Netflix's ad sales business operates, using data science, AI, and machine learning to help sellers work smarter, close more deals, and scale Ads revenue without scaling headcount at the same pace.

Netflix

Software Engineer 5 - Platform Data Products

$388K - $558K/yr

In this role, you will focus on building products that enable Netflix to improve the efficiency of our Cloud and AI infrastructure. You'll partner directly with engineering stakeholders to design and ...

Netflix

Software Engineer 5 - Platform Data Products

OR · On-site +1

$388K - $558K/yr

In this role, you will focus on building products that enable Netflix to improve the efficiency of our Cloud and AI infrastructure. You'll partner directly with engineering stakeholders to design and ...

Netflix

Software Engineer 5 - Platform Data Products

$388K - $558K/yr

In this role, you will focus on building products that enable Netflix to improve the efficiency of our Cloud and AI infrastructure. You'll partner directly with engineering stakeholders to design and ...

Netflix

Senior Design Director, Member XD

Los Gatos, CA · On-site

... AI, and ensuring each member's experience on Netflix reflects what they truly value. ABOUT YOU You'll lead a lean remote design organization of seasoned designers, while partnering closely with cross ...

Netflix

OR · On-site

At Netflix, our mission is to entertain the world. Together, we are writing the next episode ... This job posting is inclusive of a variety of positions within our AI for Member Systems (AIMS ...

Netflix

Senior Design Director, Member XD

Los Gatos, CA · On-site

... AI, and ensuring each member's experience on Netflix reflects what they truly value. ABOUT YOU You'll lead a lean remote design organization of seasoned designers, while partnering closely with cross ...

Netflix

Senior Design Director, Member XD

Los Gatos, CA · Remote

... AI, and ensuring each member's experience on Netflix reflects what they truly value. ABOUT YOU You'll lead a lean remote design organization of seasoned designers, while partnering closely with cross ...

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How much do netflix ai jobs pay per year?

As of Aug 8, 2026, the average yearly pay for netflix ai in the United States is $119,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,000.00 and $149,000.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as an AI engineer at Netflix?

To thrive as an AI Engineer at Netflix, you need strong expertise in machine learning, data science, programming (Python, Java, or Scala), and a degree in computer science or a related field. Familiarity with cloud platforms (like AWS), big data tools (Spark, Hadoop), and deep learning frameworks (TensorFlow, PyTorch) is typically required. Creative problem-solving, effective collaboration, and strong communication skills help individuals stand out in this role. These skills and qualities are essential for developing scalable AI solutions that enhance user experience and drive innovation at Netflix.

How does the Netflix AI team collaborate with other departments to develop and deploy machine learning solutions?

The Netflix AI team works closely with a variety of departments, such as product management, engineering, and data analytics, to design and implement machine learning models that enhance user experience. Collaboration often involves regular cross-functional meetings to align on project goals, iterative feedback cycles, and joint problem-solving sessions. Team members may partner with engineers to integrate models into production systems or work with analysts to evaluate model performance and impact. This collaborative environment helps ensure that AI solutions are both technically robust and aligned with business objectives, offering a dynamic and engaging workplace for those passionate about applied AI.

What is a Netflix AI job?

Netflix AI jobs involve developing and applying artificial intelligence and machine learning technologies to improve various aspects of Netflix’s platform. This can include optimizing recommendations, personalizing content, enhancing streaming quality, automating media creation, and improving operational efficiency. Roles in Netflix AI typically require expertise in data science, machine learning, software engineering, and a passion for building innovative consumer experiences. Employees work with large-scale datasets and cutting-edge technologies to solve complex problems that directly impact millions of viewers worldwide.
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Infographic showing various Netflix Ai job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $119,028 per year, or $57.2 per hour.

Machine Learning Scientist 5 - Sales, Ads DSE

Netflix

Remote

$466K - $750K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 4 days ago

Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

70th of 76 rated media

Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next.
The Demand Science team within Ads Data Science & Engineering plays a crucial role in Netflix Ads growth by equipping the business to efficiently attract, activate, and scale advertiser demand. As the dedicated ML lead for Sales productivity and automation within the Sales pod, you would partner closely with Product Managers, Engineers, and Sales stakeholders to identify where AI can drive the most impact - and then build it. We're looking for someone who can identify the highest-leverage opportunities, propose solutions, and drive them end-to-end to transform how Netflix's ad sales business operates, using data science, AI, and machine learning to help sellers work smarter, close more deals, and scale Ads revenue without scaling headcount at the same pace.
The Scope
As the ML lead for Sales productivity and automation, you'll own the technical vision and execution across areas such as:
  • Workflow Automation: In partnership with Product, identify and automate high-friction points in the Sales workflow to reduce delays, eliminate manual work, and improve accuracy - so sellers spend less time on process and more time on selling.
  • AI-Augmented Selling: Design and deploy AI agents and assistants that make selling faster and more effective - automating where possible and helping sellers prepare for client conversations, respond to RFPs, and close higher-value deals more quickly.

What You'll Do
  • Define the AI/ML investment roadmap for the Sales pod in close partnership with product and engineering, identifying where data science can drive the most meaningful improvements in Sales productivity and revenue outcomes.
  • Design, build, and deploy production ML models, AI agents, and automation systems end-to-end.
  • Partner with Analytics Engineers to build the metrics, measurement pipelines, and reporting that guide investment decisions and track product performance.
  • Iterate on launched products based on performance data and seller feedback, with a clear eye on measurable business impact.
  • Serve as a senior technical voice in cross-functional discussions, communicating clearly with both technical and non-technical stakeholders.

Who You Are
  • Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Track record of independently scoping and leading end-to-end ML projects in production environments - not just executing on defined projects, but identifying the right problems to solve and driving them from idea to measurable impact.
  • Strong strategic acumen: the ability to understand business objectives deeply and translate them into a prioritized technical roadmap.
  • Comfort with ambiguity and a proactive, curious approach to problem-solving - you can operate effectively in a space where the path isn't always laid out for you.
  • Excellent communication skills with both technical and non-technical audiences, paired with the curiosity and user empathy to understand Sales pain points and needs.
  • Proficiency in Python and SQL for building ML pipelines and models.
  • Experience with LLMs, AI, or agentic systems is a bonus, but not required, given how new these fields are - we think candidates with strong ML product-building experience willing to learn into AI can also be highly successful in this role.
  • The Netflix Culture Memo resonates with you.

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 $466,000.00 - $750,000.00. This compensation range will vary based on location.
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 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.

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About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997

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