Senior Software Engineer, Artificial Intelligence Innovation and Research

1 - 5 years

0 Lacs

Posted:6 days ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

You should have a Bachelor's degree or equivalent practical experience along with 5 years of experience in software development using one or more programming languages. In addition, you should have 3 years of experience in testing, maintaining, or launching software products, and at least 1 year of experience in software design and architecture. Moreover, you should possess 3 years of experience in speech/audio technology, reinforcement learning, ML infrastructure, or specialization in another ML field. You are also expected to have 3 years of experience in ML infrastructure including model deployment, model evaluation, optimization, data processing, and debugging. Preferred qualifications for this role include a Master's degree or PhD in Computer Science or a related technical field, 5 years of experience with data structures and algorithms, 1 year of experience in a technical leadership role, and experience in developing accessible technologies. As a software engineer at Google, you will be involved in developing cutting-edge technologies that impact how billions of users connect and interact with information. The role requires working on projects critical to Google's needs, providing opportunities to switch teams and projects as the business evolves. Versatility, leadership qualities, and enthusiasm for tackling new challenges are essential qualities for this role. The Platforms and Devices team at Google focuses on various computing software platforms and first-party devices and services. The team is responsible for researching, designing, and developing new technologies to enhance user interactions with computing across different environments. Your responsibilities will include building comprehensive ML-driven evaluations for AI systems, developing infrastructure and tooling to support evaluations across platforms and devices, creating ML-based auto raters, enhancing datasets, and leveraging Software Engineer Agents to automate evaluation processes.,

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