MENU
  • Remote Jobs
  • Companies
  • Go Premium
  • Job Alerts
  • Post a Job
  • Log in
  • Sign up
Working Nomads logo Working Nomads
  • Remote Jobs
  • Companies
  • Post Jobs
  • Go Premium
  • Get Free Job Alerts
  • Log in

Gen AI ML Architect - Ads DSE

Netflix

Full-time
USA
$610k-$1870k per year
machine learning
advertising
data science
tech
science
Apply for this 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.

Our Team 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.

Role Overview: You will be accountable for identifying and pursuing the strategic opportunities where genAI can drive differentiated value for Netflix Ads, grounded in a deep understanding of our business and customer needs. You will architect and guide the development of foundational technologies—spanning semantic understanding, quality, and generation —and ensure these capabilities are extensible and impactful for the Netflix Ads business. You will primarily work in the “Ads Creative” domain, but your work will enable technical teams across Ads to unlock new opportunities for innovation and efficiency.

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

Capabilities

  • 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. 

  • The ideal candidate will also have 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 have:

  • Strong understanding of creative and business needs in advertising

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  $610,000 - $1,870,000.

[US ONLY] 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.

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.

Apply for this position
Bookmark Report

About the job

Full-time
USA
$610k-$1870k per year
Posted 2 hours ago
machine learning
advertising
data science
tech
science

Apply for this position

Bookmark
Report
Enhancv advertisement

30,000+
REMOTE JOBS

Unlock access to our database and
kickstart your remote career
Join Premium

Gen AI ML Architect - Ads DSE

Netflix

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.

Our Team 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.

Role Overview: You will be accountable for identifying and pursuing the strategic opportunities where genAI can drive differentiated value for Netflix Ads, grounded in a deep understanding of our business and customer needs. You will architect and guide the development of foundational technologies—spanning semantic understanding, quality, and generation —and ensure these capabilities are extensible and impactful for the Netflix Ads business. You will primarily work in the “Ads Creative” domain, but your work will enable technical teams across Ads to unlock new opportunities for innovation and efficiency.

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

Capabilities

  • 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. 

  • The ideal candidate will also have 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 have:

  • Strong understanding of creative and business needs in advertising

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  $610,000 - $1,870,000.

[US ONLY] 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.

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.

Working Nomads

Post Jobs
Premium Subscription
Sponsorship
Free Job Alerts

Job Skills
API
FAQ
Privacy policy
Terms and conditions
Contact us
About us

Jobs by Category

Remote Administration jobs
Remote Consulting jobs
Remote Customer Success jobs
Remote Development jobs
Remote Design jobs
Remote Education jobs
Remote Finance jobs
Remote Legal jobs
Remote Healthcare jobs
Remote Human Resources jobs
Remote Management jobs
Remote Marketing jobs
Remote Sales jobs
Remote System Administration jobs
Remote Writing jobs

Jobs by Position Type

Remote Full-time jobs
Remote Part-time jobs
Remote Contract jobs

Jobs by Region

Remote jobs Anywhere
Remote jobs North America
Remote jobs Latin America
Remote jobs Europe
Remote jobs Middle East
Remote jobs Africa
Remote jobs APAC

Jobs by Skill

Remote Accounting jobs
Remote Assistant jobs
Remote Copywriting jobs
Remote Cyber Security jobs
Remote Data Analyst jobs
Remote Data Entry jobs
Remote English jobs
Remote Spanish jobs
Remote Project Management jobs
Remote QA jobs
Remote SEO jobs

Jobs by Country

Remote jobs Australia
Remote jobs Argentina
Remote jobs Brazil
Remote jobs Canada
Remote jobs Colombia
Remote jobs France
Remote jobs Germany
Remote jobs Ireland
Remote jobs India
Remote jobs Japan
Remote jobs Mexico
Remote jobs Netherlands
Remote jobs New Zealand
Remote jobs Philippines
Remote jobs Poland
Remote jobs Portugal
Remote jobs Singapore
Remote jobs Spain
Remote jobs UK
Remote jobs USA


Working Nomads curates remote digital jobs from around the web.

© 2025 Working Nomads.