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Google is known for its engineering-first culture, emphasizing innovation and collaboration. The company fosters a unique environment that encourages ...

Google • New York, NY, USA
Google is seeking a Senior Staff Software Engineer specializing in AI/ML for Google Workspace. You'll lead technical project strategy and optimize large-scale ML infrastructure. This role requires 8+ years of experience in software development and expertise in machine learning.
You have a Bachelor’s degree or equivalent practical experience and at least 8 years of experience in software development. With 7 years of experience leading technical project strategy, you have a strong background in ML design and optimizing industry-scale ML infrastructure, including model deployment, evaluation, data processing, debugging, and fine-tuning. You possess 5 years of experience in design and architecture, as well as testing and launching software products. Your expertise extends to one or more areas such as speech/audio technology, reinforcement learning, or other specialized ML fields. You also have a Master’s degree or PhD in Engineering, Computer Science, or a related technical field, along with 8 years of experience with data structures and algorithms. In addition, you have 5 years of experience in a technical leadership role, guiding project teams and setting technical direction, and 3 years of experience working on cross-functional projects.
As a Senior Staff Software Engineer at Google, you will develop next-generation technologies that change how billions of users connect and interact with information. You will manage project priorities, deadlines, and deliverables while facilitating alignment across teams on goals and outcomes. Your role will involve influencing and coaching a distributed team of engineers, driving technical project strategy, and overseeing the design and implementation of solutions across multiple specialized ML areas. You will work on high-impact projects that require handling information at massive scale, extending well beyond web search. Your contributions will be crucial in optimizing large-scale ML infrastructure and ensuring the successful deployment of machine learning models.
At Google, you will be part of a team that values innovation and collaboration. We encourage you to apply even if your experience doesn't match every requirement. You will have the opportunity to work on impactful projects that shape the future of technology and improve user experiences globally. Our culture promotes continuous learning and growth, providing you with the resources and support needed to excel in your career. Join us and be a part of a mission-driven organization that is dedicated to making a difference in the world through technology.
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