Senior Staff GenAI Engineer, YouTube Ads Creative Optimization

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. We're responsible for building this graph and attribute understanding for billions of products and offers. Our team uses ML/AI to perform large-scale clustering on product data, LLM inference to extract key facts and features of those products. Our product modeling and understanding powers key features across many surfaces, from generating product responses in AI Mode on Search, improving quality of new experiences in Ads, through to helping creators tag products in YouTube. People shop on Google more than a billion times a day - and the Commerce team is responsible for building the experiences that serve these users. The mission for Google Commerce is to be an essential part of the shopping journey for consumers - from inspiration to to a simple and secure checkout experience - and the best place for retailers/merchants to connect with consumers. We support and partner with the commerce ecosystem, from large retailers to small local merchants, to give them the tools, technology and scale to thrive in today’s digital world. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google. Responsibilities

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

• Define the technical strategy and roadmap for key machine learning components, ensuring alignment with product goals and driving measurable impact through rigorous experimentation.

• Build and integrate scalable machine learning pipelines and services, collaborating with infrastructure and serving teams to power creative optimization.

• Analyze performance metrics, derive insights, and implement algorithmic improvements for creative selection, freshness, and exploration.

• Mentor engineers and promote best practices in applied machine learning and system design.

Qualifications Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.

• 8 years of experience in software development.

• 7 years of experience leading technical project strategy, ML design, and working with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

• 5 years of experience with design and architecture; and testing/launching software products.

• 5 years of experience with one or more of the following: generative AI, deep learning, reinforcement learning, or specialization in another machine learning field.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

• 5 years of experience in a technical leadership role leading project teams and setting technical direction.

• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

• Experience building and productionizing machine learning models at scale, using frameworks (e.g., TensorFlow, JAX) and production platforms.

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