Gen AI ML Architect - Ads DSE

Netflix

113d • $610,000 - $1,870,000

About The Position

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. We recently launched a new ad-supported tier to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply immersed audiences. The Ads Data Science and Engineering team works with various partners to build the advertising systems and integrations that power the delivery of ads using our world-class content delivery ecosystem. We deliver ads in a manner that’s thoughtful of our members’ viewing experience and drive great outcomes for advertisers. Our team is new and yet faced with the ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the Connected TV advertising space that’s rapidly growing, we seek to build unique value propositions that help us differentiate from the competition and become a market leader in record time. With GenAI's rapid progress, we are now pushing boundaries to build solutions and drive efficiencies at scale within our Ads business. As we invest in areas such as media understanding, policy decisioning, and contextual advertising, we are looking for a Principal-level individual contributor to lead the way in these investments—someone who brings deep technical expertise, a strategic vision for building scalable frameworks, and a keen sense for delivering meaningful impact.

Requirements

• Deep expertise in Generative AI, including diffusion models for image and video generation, vision-language models, and multimodal semantic understanding models such as multimodal transformers.
• Experience with fine-tuning techniques (such as LoRAs and adapters), developing evaluation frameworks (including human-in-the-loop quality assessments), and working with large language models (LLMs) for tasks like tool integration and summarization.
• Experience with multimodal machine learning (vision, language, audio).
• Proven ability to prototype solutions and work cross-functionally to enable the design and scaling of modular ML systems.
• Effective cross-functional collaborator with creative and technical teams.
• Ability to influence and mentor without direct authority.
• Commitment to quality, ethics, and brand safety in AI solutions.
• Data-driven, with experience defining and tracking success metrics.
• Passion for continuous learning and thought leadership in AI.

Nice To Haves

• Strong understanding of creative and business needs in advertising.

Responsibilities

• Set the strategic direction for Netflix's GenAI investment portfolio in ads and own the overall outcomes for investments in GenAI for Ads.
• Design and architect modular, scalable systems for creative asset generation (e.g., images, video, audio) and creative understanding (e.g., semantic analysis, content summarization) that integrate seamlessly into Netflix’s advertising ecosystem.
• Lead hands-on prototyping and experimentation with state-of-the-art generative AI models (e.g., diffusion models, large language models, multimodal transformers - across both open source and proprietary tech).
• Collaborate closely with Netflix’s Product, Engineering, and Data Science teams to deeply understand creative and advertising needs, ensuring solutions are both technically robust and creatively inspiring.
• Oversee integration of generative AI systems with Netflix’s existing ad tech stack, creative tooling, and data infrastructure.
• Mentor and guide other engineers and scientists in generative AI best practices, fostering a culture of technical excellence and creativity.

Benefits

• Health Plans
• Mental Health support
• 401(k) Retirement Plan with employer match
• Stock Option Program
• Disability Programs
• Health Savings and Flexible Spending Accounts
• Family-forming benefits
• Life and Serious Injury Benefits
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Number of Employees: 5,001-10,000 employees