10 Aug
|
Google
|
Bengaluru
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.
Valuable understanding of agentic architectures, tool-calling, Retrieval-Augmented Generation (RAG) grounding layers.
Exceptional collaboration and communication skills,
with a proven ability todrive technical alignment with cross-functional stakeholders and navigate competing priorities.
About the jobGoogle 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 en
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