Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 8 years of experience in software development.
  
• 5 years of experience as an ML/AI engineer working with AI-related tools, frameworks, and platforms and building AI-powered user-visible features.
• Experience with data analysis.
• Experience with Large Language Models (LLMs).

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  
• 8 years of experience with data structures and algorithms.
• 3 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 working with Ads Quality.
• Experience building AI-powered user-visible features.

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.

In this role, you will co-develop innovative ads experiences by translating and driving product concepts into ML tasks as part of the core AI-mode model.

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.

The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google

Responsibilities

• Build deep intuition for the AIM and the Ads product. Guide the product direction as well as formulate a robust technical strategy and road map. Explore emerging technologies and propose techniques.
• Work with cross-functional teams across Ads, Search, Deep Mind, and Google Research to align the end to end system and technical approaches towards the overall mission and product.
• Maintain a comprehensive understanding of industry trends, the AI-Mode product road map, and the evolving technical landscape.
• Drive fast-paced iterative execution while optimizing for both learning and impact.
• Formulate designs that help achieve desirable trade-offs across cost, latency, quality, etc.