Staff Engineer, Search Intelligence

Google Inc.; Bengaluru; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

Google Bengaluru is hiring a Senior ML Engineer to own outcomes in personalization for Google Search, solving ambiguous problems and guiding architecture with strong stakeholder influence. You will design, deploy and evaluate ML models, collaborate across teams, and integrate generative AI tools into workflows while scaling data processing and infrastructure to serve billions of users globally.

Strong communication and leadership, with hands-on coding in Python and C++, help drive impact across

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 of experience leading ML design and optimizing ML infrastructure.
• 5 years of experience testing and launching software products.
• 3 years of experience with software design and architecture.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

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

Skills

AI strategy

ML design leadership

Problem solving

Stakeholder management

Software architecture

Model deployment

Python

C++

Java

Education

Bachelor’s degree in Computer Science or related field

Master’s degree or PhD in Engineering, CS, or related technical field

Tools

TensorFlow

PyTorch

GWS plugins

Job description

Advanced

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

• 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.

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, epistemic storage), and online autoraters, EAS, SAIL, Sherlog.

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.

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.