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Google • Sunnyvale, CA, USA
Google is seeking a Software Engineer III to develop AI/ML recommendation systems and models. You'll work with Python or C++ and contribute to machine learning infrastructure. This role requires 2 years of programming experience and expertise in recommendation systems.
You have a Bachelor’s degree or equivalent practical experience, along with at least 2 years of experience programming in Python or C++. Your background includes 1 year of experience building and deploying recommendation systems models, focusing on retrieval, prediction, ranking, personalization, and search quality. You are familiar with ML infrastructure, including model deployment, evaluation, optimization, and data processing. You also have experience with data structures and algorithms, which you have applied in real-world scenarios. A Master's degree or PhD in Computer Science or related technical fields is preferred, as is experience developing accessible technologies. You are versatile and enthusiastic about tackling new challenges across the full-stack, contributing to the next-generation technologies that Google develops.
As a Software Engineer III at Google, you will work on critical projects that impact millions of users. You will build and deploy recommendation systems models, utilizing machine learning infrastructure to optimize performance and ensure high-quality outputs. Your role will involve triaging product or system issues, debugging, and tracking resolutions by analyzing the sources of issues and their impact on hardware, network, or service operations. You will collaborate with cross-functional teams to enhance the user experience and adapt content based on product updates and user feedback. You will also have opportunities to switch teams and projects, allowing you to grow and evolve with Google's fast-paced business. Your contributions will help shape the future of how users connect and interact with information.
At Google, you will be part of a team that values innovation and creativity. We encourage you to apply even if your experience doesn't match every requirement, as we believe diverse teams build better products. You will have access to a range of resources and support to help you succeed in your role. Our culture promotes collaboration and continuous learning, ensuring that you can develop your skills and advance your career. We offer competitive compensation and benefits, along with the opportunity to work on projects that have a meaningful impact on the world.
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