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Google • Sunnyvale, CA, USA, Kirkland, WA, USA
Google is seeking a Machine Learning Engineer to develop large-scale infrastructure for ML applications. You'll work with C++, distributed systems, and machine learning technologies. This position requires 2 years of experience in software development.
You have a Bachelor's degree or equivalent practical experience, along with at least 2 years of experience in software development, or 1 year with an advanced degree in an industry setting. Your background includes developing large-scale infrastructure, distributed systems, or networks, and you possess experience with compute technologies, storage, or hardware architecture. You are proficient in C++ and have a solid understanding of machine learning infrastructure and distributed systems. Additionally, you have experience with data structures and algorithms, and you are familiar with large-scale data processing involving image, video, or audio.
As a Machine Learning Engineer at Google, you will work on critical projects that support the company's needs, with opportunities to switch teams and projects as the business evolves. You will build infrastructure and services that enable model quality and evaluation processes, ensuring that models meet the highest standards of accuracy and robustness. Collaborating closely with product managers, you will gain deep insights into customer requirements and translate them into actionable product features and enhancements. Your role will involve developing and maintaining large-scale systems that handle massive amounts of data, ensuring that the infrastructure is scalable and efficient. You will also be responsible for testing and optimizing the performance of machine learning models, contributing to the overall success of Google's AI initiatives.
At Google, you will be part of a team that is dedicated to pushing the boundaries of technology and innovation. We offer a collaborative work environment where you can grow your skills and advance your career. You will have access to cutting-edge tools and resources, and the opportunity to work on projects that impact billions of users worldwide. 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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