Staff Software Engineer, AI/ML, YouTube Ads

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

Job summary

Google is seeking a software engineer to advance AI-driven ad creativity at scale. You will lead end-to-end machine learning model development, manage data pipelines for training and inference, and integrate generative AI into ad experiences serving billions of YouTube users.

Role involves deep learning, reinforcement learning, and large-scale serving platforms, with collaboration across Google Research and DeepMind to push state-of-the-art in advertising technology.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8+ years of experience in software development.
• 5+ years testing and launching software products, and 3+ years in software design and architecture.
• Preferred: Master's or PhD in CS/ML or related field.
• 8 years of experience in data structures and algorithms.
• 5 years building and productionizing ML models including deep learning or reinforcement learning.

Responsibilities

• Lead end-to-end development of novel ML models 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 and metrics.
• Contribute to architecture of centralized services for asset attributes and model-driven insights.

Skills

8+ years software development

A/B testing

large-scale systems

ML model deployment

Deep learning

Education

Bachelor's degree or equivalent

Master's or PhD in CS/ML or related field

Tools

TensorFlow

JAX

TFX/AdBrain

Job description

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

Minimum 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.

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.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Responsibilities

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 workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .