Staff Software Engineer, Search Ads

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.
• Experience with C++, Machine Learning, Data Analysis.
• Experience in Python programming.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures/algorithms.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• Experience with Natural Language Processing.

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.

Responsibilities

• Together with product management define the criteria for expanded user query and ad relations.
  
• Work with Google Research and Deep Mind to identify AI/ML innovations to model the expanded relations beyond semantics.
  
• Influence and shape the Expanded Match technology goal and plan and drive the implementation progress through fast exploration cycles.
• Lead model training, evaluation, and deployment - optionally leading a small group of junior Software Engineers (SWEs).
• Explore new architectures, and this will include augmenting existing training data, finding better evaluation methods and feedback signals, and identifying headroom opportunities.