Software Engineer III, AI/ML, Search Ads Quality

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• 1 year of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 2 years of experience with data structures and algorithms.
• Experience developing accessible technologies.
• Experience with Google's ML stack: Tensorflow, SAX, GeMax, TPUs, etc.
• End-to-end experience launching applied ML, NLP, or LLM projects.

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 manage information at a 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.

Ads Quality Zurich is part of Search Ads. Specifically, we train and maintain machine learning models to match user intent with commercial content on Google Search using the latest advances in NLP and multimodal modeling, content understanding and genAI, and advanced training like RL.

In this role, you will be involved in the full AI model lifecycle, from design choices to training to efficient deployment of serving models in production at the scale of Search Ads. You will innovate while collaborating with other teams, including research teams, to test and implement the latest technologies in our models.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

Responsibilities

• Implement solutions in one or more specialized ML areas; utilize ML infrastructure; and contribute to model training, optimization, and data processing.
• Write related product or system development code.
• Innovate and iterate on machine learning model training recipes, improving quality and efficiency across the entire model lifecycle.
• Test ML solutions by running and analyzing experiments using analytical and statistical methods.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., prompt optimization and training recipes, accuracy, testability, and efficiency).