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Google • New York, NY, USA
Google is seeking a Software Engineer III for their AI/ML GenAI team to implement innovative solutions in Google Workspace. You'll work with Python and C++ while leveraging machine learning infrastructure. This role requires 2 years of programming experience and familiarity with core GenAI concepts.
You hold a Bachelor’s degree or equivalent practical experience and have at least 2 years of experience programming in Python or C++. You possess a solid understanding of machine learning infrastructure, including model deployment, evaluation, optimization, and data processing. Your experience extends to core GenAI concepts such as LLM, Multi-Modal, and Large Vision Models, and you are familiar with generating text, images, videos, or audio. You may also have a Master's degree or PhD in Computer Science or a related technical field, along with 2 years of experience with data structures or algorithms. You are passionate about developing accessible technologies and are eager to contribute to projects that impact billions of users.
As a Software Engineer III at Google, you will work on critical projects that shape the future of Google Workspace. You will implement GenAI solutions, utilizing machine learning infrastructure to enhance performance and optimize data preparation. Your role will involve debugging and resolving product or system issues by analyzing their sources and impacts on hardware, network, or service operations. You will collaborate with cross-functional teams to develop next-generation technologies that change how users connect and interact with information. You will have opportunities to switch teams and projects, allowing you to grow and evolve alongside Google's fast-paced business. Your versatility and leadership qualities will be essential as you tackle new challenges across the full-stack.
At Google, you will be part of a culture that encourages innovation and collaboration. You will have access to resources and support to help you grow your skills and advance your career. The work you do will have a profound impact on the future of technology and how it shapes the world. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.
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