Senior Software Engineer, Search, AI Answers Quality

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in Python programming language.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures/algorithms.
• 1 year experience in Kotlin and C++.
• 1 year of experience in a technical leadership role.
• Experience developing accessible technologies.

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.

Help the AI Answers Quality team deliver AI Overviews to users' hard and complicated queries on the SRP and in AI Mode.

Our strategic goal is to to satisfy users' information-seeking needs on anything they ask. We provide nuanced answers when simple ones don't suffice. We want to handle ambiguous questions gracefully to show multiple perspectives where appropriate, and experiment with bold new experiences and technologies that leverage our question-answering technologies at scale.

Most projects are full-stack work, with an emphasis on quality-focused efforts (analysis, modeling, signal creation, metrics/autoraters, Retrieval-Augmented Generation (RAG), tuning etc) in pursuit of enhanced answer quality and involves close partnership with Search Quality engineers, Google Deepmind (GDM), Product and UX.

• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  
• Write and test product or system development code.
• Generate safe and helpful content on the Search Results Page (SRP) by leveraging existing Search signals, building new ones, and training the underlying LLMs.
• Deliver improvements for GenAI features on the SRP, from fine-tuning the underlying models to determining if summaries are appropriate to be displayed. This will involve a mix of infrastructure work across the stack, as well as quality analysis (e.g., investigating responses to determine what went wrong and how result quality can be improved on a systematic level).
• Improve measurements, run live experiments, ensure launches continue to remain effective and protect against regressions, develop custom autoraters and improve existing ones.