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Google is looking to solve the problem of transforming how enterprise customers consume and manage their businesses in the cloud, and is seeking a Software Engineer to build and develop Gemini Cloud Assist Investigations.

Requirements

• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• Experience in Generative AI (Large Language Models, Multi-Modal, Large Vision Models)
• 5 years of experience with data structures/algorithms.
• 1 year of experience in a technical leadership role.
• Experience developing accessible technologies.

Responsibilities

• Write and test product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Lead design and development of execution service and catalog for product teams and third parties to contribute run-books.
• Interact cross-functionally and cultivate partnerships with teams. Work with Engineering, Product, Design, Operations, and User Research to identify opportunities for quality run-books.
• Lead initiatives to improve our data, tools and methodology, beyond the scope of a single product application, to help scale the team's work.

Other

• Bachelor's degree or equivalent practical experience.
• Master's degree or PhD in Computer Science or related technical field.
• Ability to work in San Francisco, CA, USA or Sunnyvale, CA, USA
• Ability to influence and work across Google Cloud, Google DeepMind and external AI ecosystem.
• Ability to display leadership qualities and be enthusiastic to take on new problems across the full-stack