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Google's Core team builds the technical foundation behind Google's flagship products, aiming to create essential building blocks for excellent, safe, and coherent user experiences and drive innovation for developers. This role focuses on designing and implementing GenAI solutions to address challenges at massive scale and push technology forward.

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 ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
• 5 years of experience with data structures/algorithms.
• 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,)
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.

Other

• Bachelor’s degree or equivalent practical experience.
• 1 year of experience in a technical leadership role.
• Preferred qualifications: Master's degree or PhD in Computer Science or related technical field.
• Versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack.
• Preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; Los Angeles, CA, USA