Software Engineer III, AI/ML, Payments

1 - 5 years

0 Lacs

Posted:2 days ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

Role Overview: As a software engineer at Google, you will be developing next-generation technologies that impact how billions of users connect, explore, and interact with information and each other. Your work will involve handling information at a massive scale and will span various areas such as information retrieval, distributed computing, system design, networking, security, artificial intelligence, and more. You will have the opportunity to work on critical projects for Google while showcasing your versatility and leadership qualities. Key Responsibilities: - Write product or system development code to contribute to project success. - Collaborate with peers and stakeholders through design and code reviews to ensure adherence to best practices in available technologies. - Contribute to existing documentation and educational content, adapting them based on product/program updates and user feedback. - Triage product or system issues, debug, track, and resolve them by analyzing the sources of issues and their impact. - Implement Generative AI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements. Qualifications Required: - 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 ML infrastructure, including model deployment, evaluation, optimization, data processing, and debugging. - Experience with core Generative AI concepts and text, image, video, or audio generation. Additional Details: Google's engineering team is constantly innovating and pushing technology forward to meet evolving needs. As a software engineer, you will have the opportunity to work on critical projects and switch teams and projects as both you and the business grow. This role requires enthusiasm for tackling new challenges across the full-stack and a willingness to adapt to new technologies.,

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