Software Engineer, Machine Learning, Jules

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience in testing, maintaining, or launching software products.
• 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.
• 1 year of experience with software design and architecture.

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• 5 years of experience with data structures/algorithms.
• 1 year of experience in a technical leadership role.
• Experience developing, launching products, or technologies with Large Language Models (LLMs).
• Experience developing accessible technologies.

About the job

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 handle information at 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.

Jules is Google’s AI coding agent, a proactive, parallel collaborator that helps you build, not just think. Our goal is to transform developers from solo contributors into orchestrators of intelligent systems.

Labs is a group focused on incubating early-stage efforts in support of Google’s mission to organize the world’s information and make it universally accessible and useful. Our team exists to help discover and create new ways to advance our core products through exploration and the application of new technologies. We work to build new solutions that have the potential to transform how users interact with Google. Our goal is to drive innovation by developing new Google products and capabilities that deliver significant impact over longer timeframes.

Responsibilities

• Design and improve core agent cognitive architecture for Jules, including planning, execution, instruction following, feedback, memory, state management and tool-use capabilities.  
• Improve agent state structure and update, using context engineering, and agent self-correction loops, using code verification and feedback to ensure high quality and correctness. 
• Lead efforts to benchmark performance on Gemini and Jules benchmarks, towards metrics and capabilities.
• Own quality and reliability experience aspects related to agent performance, compliance and consistency.  
• Collaborate closely with product, infrastructure, and research teams to ship new agent capabilities and deliver a reliable product experience.