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Senior Software Engineer, Search, AI Answers Quality

GoogleCambridge, MA, USA

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.

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.

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.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

The US base salary range for this full-time position is $166,000-$244,000 + 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

  • 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.

    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

    Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

    If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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