Senior Staff Software Engineer, Workspace Search Quality

Google; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Google Inc. is seeking a Senior Staff Software Engineer to advance Workspace Search Quality, owning architecture for end-to-end search from natural language queries to deployed ML models, and driving improvements in search relevance.

You will lead cross-functional collaboration, define strategic roadmaps, and establish evaluation metrics to measure progress and impact across Google Workspace search experiences, including Gmail, Docs, Drive, and Calendar.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software engineering with Information Retrieval (IR), Natural Language Processing (NLP) or Machine Learning (ML).
• Experience with launching user-facing, large-scale, production quality systems.
• Experience designing, implementing, and optimizing large-scale, high-performance, distributed search or quality systems in production environments.

Responsibilities

• Lead the architecture, design and implementation of end-to-end search solutions, from understanding natural language queries to developing and deploying machine learning models that significantly improve search quality.
• Drive innovation by exploring and integrating machine learning techniques, algorithms, and architectures to enhance search relevance and user experience.
• Own the technical goal and roadmap for critical areas of Workspace Search, collaborating with cross-functional teams to define and deliver on a strategic roadmap.
• Establish and refine evaluation frameworks and metrics to measure and track progress against key performance-indicators.

Skills

IR/NLP/ML

Large-scale systems

Distributed search

Embedding-based retrieval

Vector search

Query understanding

LLMs for search

Latency optimization

Metrics & experiments

Cross-functional leadership

Leadership

Education

Bachelor’s degree or equivalent

Job description

Senior Staff Software Engineer, Workspace Search Quality

• link Copy link

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software engineering with Information Retrieval (IR), Natural Language Processing (NLP) or Machine Learning (ML).
• Experience with launching user-facing, large-scale, production quality systems.
• Experience designing, implementing, and optimizing large-scale, high-performance, distributed search or quality systems in production environments.

Preferred qualifications:

• Experience with embedding-based retrieval, vector search, query understanding or Large Language Models (LLMs) applied to search/recommendation systems.
• Experience mamaging system latency improvements (e.g., progressive loading, perfecting techniques, or bypassing post-retrieval latency overhead) and scalability enhancements.
• Background in defining metrics, analyzing user-perception surveys, and running complex search experiments.
• Good understanding of agentic architectures, tool-calling, Retrieval-Augmented Generation (RAG) grounding layers.
• Exceptional collaboration and communication skills, with a proven ability to drive technical alignment with cross-functional stakeholders and navigate competing priorities.

About the job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.

We are building Intuitive, and effective searching and finding experiences by enabling search journeys that bridge across Google Workspace products (e.g., Gmail, Chat, Drive, etc.). We have an ambitious roadmap for making Workspace Search excellent, including the usage of advanced Machine Learning (ML) technologies, significant user-facing changes, revamping our evaluation framework and more. AI will change the future of work in profound ways, and our products— Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.

Responsibilities

• Lead the architecture, design and implementation of end-to-end search solutions, from understanding natural language queries to developing and deploying machine learning models that significantly improve search quality.
• Drive innovation by exploring and integrating machine learning techniques, algorithms, and architectures to enhance search relevance and user experience.
• Own the technical goal and roadmap for critical areas of Workspace Search, collaborating with cross-functional teams to define and deliver on a strategic roadmap.
• Establish and refine evaluation frameworks and metrics to measure and track progress against key performance-indicators.

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 .

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.