Software Engineer, Machine Learning Infrastructure, Google Cloud Platform

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.

• Create and deliver production solutions, best practice recommendations, tutorials, blog posts, and sample code for internal and external use.
• Work with early adopter customers. Provide customer and market feedback to product and engineering teams to help define product direction.
• Develop and deliver advanced enablement internally and externally.
• Work as part of an organization to contribute technical assets, prioritize and shape solution direction, while impacting business and bookings.

• Bachelor's degree in Computer Science or a related engineering field, or equivalent practical experience.
• 2 years of experience with programming in Python, C++, Java, or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or with compute technologies, storage or hardware architecture.
• 1 year of experience with Machine Learning (ML) infrastructure (e.g., model deployment, model evaluation, data processing, debugging).

• 401k matching
• Health insurance
• Flight privileges

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.