Staff Software Engineer, AI/ML, YouTube Ads

Google LLC; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google LLC seeks a Staff Software Engineer, AI/ML for YouTube Ads to advance AI-driven ad creation, personalization, and optimization at scale. You will lead the design and deployment of ML models that power ad experiences across billions of YouTube users, collaborating across research, ads, and platform teams.

You will work on deep learning, reinforcement learning, and generative AI, building large-scale serving platforms, experimentation frameworks, and measurement to ensure creative freshness

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.

Responsibilities

• Lead end-to-end development of ML models (deep learning, RL, generative AI) from concept to production.
• Build and scale ML pipelines for training, inference, and integration with high-throughput Ad serving systems.
• Explore and integrate generative models for text, image, and video adaptations within Ads.
• Apply deep learning and reinforcement learning to optimize creative composition while developing metrics and exploration algorithms.
• Contribute to architecture of centralized services for asset attributes and model-driven insights across apps.

Skills

Machine learning

Deep learning

Reinforcement learning

Generative AI

Model deployment

A/B testing

Advertising tech

Education

Bachelor's degree

Master's degree

PhD

Tools

TensorFlow

JAX

TensorFlow Extended

AdBrain

Job description

Staff Software Engineer, AI/ML, YouTube Ads

Share Staff Software Engineer, AI/ML, YouTube Ads

corporate_fare YouTube place Mountain View, CA, USA

X In most instances, this position requires in-person interviews as part of the hiring process.

• Bachelor's degree or equivalent practical experience.


• 8 years of experience in software development.


• 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.

Preferred qualifications:

• Master's degree or PhD in Computer Science, Machine Learning, or a related technical field.


• 8 years of experience in data structures and algorithms.


• 5 years of experience building and productionizing machine learning models, with experience in deep learning or reinforcement learning.


• Experience with machine learning frameworks like TensorFlow and JAX, production machine learning platforms such as TensorFlow Extended and AdBrain, and generative models and their applications.


• Proficiency in designing, running, and analyzing large-scale online experiments (A/B tests).


• Familiarity with online advertising systems, creative optimization, personalization, or recommender systems.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

In this role, you will focus on revolutionizing how ad creatives are composed, personalized, and optimized at scale using artificial intelligence/machine learning techniques. You will develop intelligent systems that enhance the relevance and performance of Ad creatives served to billions of YouTube users. Your work spans deep learning, reinforcement learning, generative artificial intelligence, and large-scale serving platforms to power the next generation of ad creative experiences.

Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.

Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

In this role, you will focus on revolutionizing how ad creatives are composed, personalized, and optimized at scale using artificial intelligence/machine learning techniques. You will develop intelligent systems that enhance the relevance and performance of Ad creatives served to billions of YouTube users. Your work spans deep learning, reinforcement learning, generative artificial intelligence, and large-scale serving platforms to power the next generation of ad creative experiences.

Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.

Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google .

• Lead the end-to-end development of novel machine learning models, incorporating techniques like deep learning, reinforcement learning, and generative artificial intelligence, from concept to production.


• Build and scale end-to-end machine earning pipelines for model training, inference, and integration with high-throughput Ad serving systems.


• Explore, implement, and integrate with generative models for text, image, and video adaptations within Ads.


• Apply deep learning and reinforcement learning to understand asset value and optimize creative composition while developing metrics and algorithms to ensure creative freshness and efficient exploration.


• Contribute to the architecture of centralized services for unifying asset attributes and model-driven insights across different applications, collaborating with infrastructure and serving teams to power creative optimization.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.