Software Engineer III, Chrome AI Agents Modeling and Trust

Google • Mountain View, CA

1d

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 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. In this role as an AI/Machine Learning Software Engineer, you will play a key part in improving Chrome's Agentic capabilities quality and building Gemini in Chrome features within the Chrome Modeling and Trust team. You will contribute to the core infrastructure for next-generation features like Gemini in Chrome (Bluebird) and Bluedog that enables agentic capabilities, enabling the browser to understand web content and autonomously execute actions including integrations to Chrome native tools, Google Workspace and third-party services. You will focus primarily on code authoring and design, while being responsible for writing test plans and automated tests, root causing and fixing bugs, and deploying experiments. You will also ensure the safety and security of these AI experiences by partnering with teams at Google, including Chrome Security and GDM.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first-party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Requirements

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages (Python).
• 1 year 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.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).

Nice To Haves

• Master's degree or PhD in Computer Science or related technical fields.
• Experience featuring engineering and analyzing data for building ML modes.
• Experience using ML tools to improve the product.

Responsibilities

• Build, tune, and improve ML models for Safety/Security, employing a wide variety of approaches such as prompt engineering, agent orchestration and post-training.
• Contribute to creating eval datasets and autoraters to help push the frontiers of what Gemini can do in Chrome.
• Run live experiments, deploy models in production, and use experimental results to improve model performance, and collaborate with product managers, UX designers, and other engineers to turn requirements into technical solutions.
• Work separately on assigned tasks and contribute to team design discussions.
• Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing through ground up work with rapid prototyping, and fast iterations for immense impact.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level