Senior Staff Software Engineer, Workspace Search Quality

Google; Bengaluru; On-site; INR 4,000,000 - 9,000,000; Full time

Job summary

Google Cloud's software engineers build the next generation of search and AI-powered products. We are seeking a senior engineer in Bengaluru to lead end-to-end search architectures, from natural language queries to production ML models that significantly improve search quality.

You will drive cross‑functional collaboration, own the technical roadmap for Workspace Search, and help scale latency-sensitive systems across Google Workspace apps such as Gmail, Docs, Drive and Meet.

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

Information Retrieval

Natural Language Processing

Machine Learning

Distributed systems

Education

Bachelor’s degree or equivalent practical experience

Tools

Embedding-based retrieval

Vector search

LLMs in search

Job description

• 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.

Minimum 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.

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 workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.