Staff Engineer, Search Intelligence

Google; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Google seeks software engineers to join a team delivering the next generation of AI-powered search and information access. You will contribute to personalization across Google Search, resolve complex engineering challenges, and help scale systems for billions of users.

As a software engineer, you will design, develop, test, and deploy software solutions, with opportunities to switch teams as the product landscape evolves. You will work on diverse AI and infrastructure projects on a global stage.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with speech/audio, reinforcement learning, ML infrastructure, or related ML field.
• 5 years leading ML design and optimizing ML infrastructure.
• 5 years testing and launching software products.
• 3 years of software design and architecture.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

• Be passionate about AI for personalization space and discuss AI tools.
• Lead the architectural evolution of personalization across Google Search.
• Work with Java, Kotlin, C++, Python (for model validation and Colabs).
• Work with MaRS, Superroot, QFlow, GWS plugins, Magit/Silfra Orchestration.
• Work on Gemini, Orbit/Nemo triggering classifiers, Sian, Anima, Footprints, and online autoraters.

Skills

Speech/Audio

Reinforcement learning

ML infrastructure

ML field specialization

ML design leadership

Software testing & launching

Software design & architecture

Generative AI / LLM integration

Education

Master's degree in Engineering/CS

PhD in Engineering/CS

Tools

MaRS

QFlow

GWS plugins

Magit/Silfra Orchestration

Job description

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another Machine Learning (ML) field.
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience testing, and launching software products.
• 3 years of experience with software design and architecture.
• Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows.

Preferred qualifications

• Master's degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 5 years of experience testing, and launching software products. 3 years of experience with software design and architecture.
• Experience with building or leveraging agentic frameworks and Large Language Model (LLM)-powered automation to enhance investigative velocity. Experience with building classifiers, machine learning, AI, ranking, and research.

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. 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.

Responsibilities

• Be passionate about the Artificial Intelligence (AI) for personalization space and have prior knowledge working in this area and solve problems with increased levels of ambiguity. Have AI Fluency and be prepared to discuss your knowledge of AI tools in the hiring process.
• Lead the architectural evolution of personalization across Google Search.
• Work with Java, Kotlin, C++, Python (for model validation and Colabs).
• Work with Magi Response Server (MaRS), Superroot, QFlow, GWS plugins, Magit/Silfra Orchestration.
• Work on Gemini (e.g., 3.0 Pro, 3.0 Flash, V2S), Orbit/Nemo triggering classifiers, Sian (first-party (1P) integrations), Anima (Search activity), Footprints (privacy-safe, episodic storage), and online autoraters, EAS, SAIL, Sherlog.

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.