Senior Staff Engineer - Search Intelligence and Machine Learning

Google India Pvt Ltd; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Google in Bengaluru is hiring a Staff Engineer for Search Intelligence. You will work on personalization and AI-driven features at scale, shaping how billions access information. As a senior engineer, you will lead architectural changes, collaborate across teams, and deploy robust ML systems using Java, Python, C++, and Kotlin.

You’ll integrate generative AI tools into real-world workflows. This role requires strong foundations in ML, systems design, and a passion for building scalable search

Qualifications

• Bachelor’s degree or equivalent practical experience with 5 years in ML/AI and RL areas.
• 5 years of leading ML design, deployment, data processing, and debugging across systems.
• Experience integrating generative AI or LLMs into workflows; strong software design & architecture.
• Preferred: Master’s or PhD; 8 years in algorithms & data structures.
• Experience with agentic frameworks and LLM-powered automation for investigative velocity.

Responsibilities

• Lead architectural evolution of personalization across Google Search.
• Collaborate across teams using Java, Kotlin, C++, Python for model validation.
• Work with MaRS, QFlow, and related orchestration and plugins.
• Contribute to scalable, secure information retrieval and AI-driven features.

Skills

Speech/Audio

Reinforcement Learning

ML infrastructure

Software design & architecture

Software testing & deployment

Generative AI/LLM integration

Agentic frameworks

Data structures & algorithms

Model evaluation & debugging

Ranking & research

Education

Master's degree or PhD in Engineering/CS

Tools

Java

Kotlin

C++

Python

MaRS

QFlow

GWS plugins

Silfra Orchestration

Gemini/Orbit

Job description

Staff Engineer, Search Intelligence

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, epoxy?), online autoraters, EAS, SAIL, Sherlog.

Experience Level

Senior Level