Software Engineer III, AI/ML, Search Intelligence
Job Description
Google | Bengaluru, Karnataka, India. Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year 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. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Experience in Software Engineering, Machine Learning, Design, Artificial Intelligence. 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. 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. At Search Intelligence India, we are evolving how users discover information. We are moving beyond traditional search links to deliver AI Mode experiences and AI Overviews that provide immediate, comprehensive answers. We use Generative AI and Machine Learning to achieve this. In this role, you will work on improving the quality of our AI Mode and AI Overview features, which are key components of the Search Results Page (SRP). You will have the opportunity to work with Generative AI and Machine Learning technologies to enhance the user experience. 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.
Locations
- Bengaluru, Karnataka, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
45,000 - 120,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Software Developmentintermediate (Programming)
- Machine Learningintermediate (AI/ML)
- Speech/Audio Technologybeginner (AI/ML)
- Reinforcement Learningbeginner (AI/ML)
- ML Infrastructureintermediate (AI/ML)
- Data Structuresintermediate (Algorithms)
- Algorithmsintermediate (Algorithms)
- Pythonintermediate (Programming)
- Searchintermediate (Domain)
- Large Language Modelintermediate (AI/ML)
Required Qualifications
- Bachelor’s degree (degree in Computer Science)
- Software Development (experience, 2 years)
- ML Infrastructure (experience, 1 years)
- Master's degree (degree in Computer Science)
- PhD (degree in Computer Science)
- Software Development with Advanced Degree (experience, 1 years)
- Data Structures or Algorithms (experience, 2 years)
Responsibilities
- Write product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
Benefits
- Equal Opportunity: Google is proud to be an equal opportunity and affirmative action employer committed to building a workforce that is representative of the users we serve.
- Culture: Creating a culture of belonging and providing equal employment opportunity.
- Accommodations: Accommodations for applicants with needs by completing the Accommodations for Applicants form.
Documents
Application Instructions
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