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Staff Software Engineer, Search Intelligence

Google
Experience0-1 years
Salary Not disclosed
Job TypeFull time
Skills: Machine Learning
Job Description
Job Title: Staff Software Engineer, Search Intelligence Company: Google Job Category: Machine Learning Roles & Responsibilities: 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. Responsibilities -------------------- * Own varied technical challenges in the Search Intelligence stack. * Collaborate closely with senior engineers, AI/ML researchers, and Product Managers to translate the innovations into concrete technical designs and implementations. * Drive technical design decisions within your area of ownership and contribute to technical best practices. * Ensure the reliability, scalability, and efficiency of Search Intelligence features, operating at Google's massive scale and addressing the unique needs of the Indian market. * Be passionate about Search 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. Collaborate closely with engineers, AI/ML researchers, and PMs to translate the innovations into concrete technical designs and implementations. Work Location: Karnataka, India Availability: Full time
Requirements
### Minimum qualifications: * Bachelor's degree or equivalent practical experience. * 0-1 years of experience in software development. * 0-1 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). * 0-1 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 ML field. * 0-1 years of experience testing, and launching software products, and 0-1 years of experience with software design and architecture. * Experience integrating generative AI tools or LLM interfaces into workflows. ### Preferred qualifications: * Master’s degree or PhD in Engineering, Computer Science, or a related technical field. * Experience with building or leveraging agentic frameworks and Large Language Model (LLM)\-powered automation to enhance investigative velocity. * Experience with building classifiers, machine learning, Artificial Intelligence (AI), ranking, and research. 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. Key Skills: Machine Learning Salary: Not disclosed
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