About The Position

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to manage information at a massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As an ML/Quality Engineer on the Cloud AI Agent Quality team, you will be at the forefront of advancing the state-of-the-art for large language models in Google Cloud. You will be responsible for delivering continuous improvements to Gemini's agentic capabilities, directly supporting Cloud product goals. In this role, you will collaborate with research teams, Vertex AI horizontal teams, and a team of high-caliber ML Tech Leads and Software Engineers. You will have a unique opportunity to address open-ended ML problems in a product area with the potential to revolutionize industries.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're behind Google's groundbreaking innovations, empowering the development of AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Requirements

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience programming in Python or C++.
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
  • Experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and text, image, video, or audio generation.

Nice To Haves

  • PhD degree with specialization in Machine Learning.
  • 3 years of experience in modeling with practical or educational experience in LLMs, and GenAI-related publications.
  • Experience with one or more general purpose programming languages (e.g., Python).
  • Excellent proficiency and communication skills in verbal and written English.

Responsibilities

  • Write 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.
  • Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.
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