Google's Core ML Organization is at the forefront of machine learning excellence, developing crucial ML infrastructure and driving key ML initiatives within Google. As a Staff Software Engineer in the Core Machine Learning team at Google Cloud, you'll be part of a dynamic environment that shapes how billions of users interact with technology. The role combines deep technical expertise in machine learning with leadership opportunities, working on critical projects that push the boundaries of AI and cloud computing.
The position requires a blend of software development prowess and machine learning expertise, with opportunities to influence technical direction and architecture. You'll be working in Google Cloud, which serves customers in over 200 countries, providing enterprise-grade solutions and cutting-edge technology. The role involves collaborating across Google's complex, matrixed organization, leading technical teams, and making significant contributions to Google's ML infrastructure.
This is an exceptional opportunity for experienced engineers who want to work at scale, with access to Google's vast resources and innovative technology stack. You'll be part of a team that not only develops ML solutions but also shapes the future of machine learning at Google and beyond. The role offers competitive compensation, comprehensive benefits, and the chance to work with some of the best minds in the industry.
The position combines hands-on technical work with leadership responsibilities, including code development, system design, and mentoring. You'll be involved in critical decision-making about technology choices, architecture, and best practices, while working on products that impact billions of users. The role offers flexibility with hybrid work options and the opportunity to work from various locations across the United States.