Software Engineer III, AI/ML, Google Labs

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.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about
benefits at Google
.

Minimum qualifications
Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
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 end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).

Preferred qualifications
Master's degree or PhD in Computer Science, or in a related technical field.
2 years of experience with data structures and algorithms.
Experience developing accessible technologies.

Responsibilities
Apply deep expertise in agentic systems including planning, memory, context management, tool-use, and loops to rapidly prototype and evaluate novel solutions for user simulation, playtesting and making software testable.
Exercise strong product judgment to build "right-sized," reliable infrastructure for agent serving-prioritizing velocity and MVP readiness while maintaining practical standards for latency, quality, and cost.
Design benchmarks to measure success and perform quality work for the agentic stack, and constantly analyze, iterate and pivot with fast experiments.
Operate with a rolled-up mindset by seamlessly blending the responsibilities of Software Engineering, Product Management, Research, Data Science and UX Research teams.
Thrive in a fast-moving, 0-to-1 space. Turn open-ended product and technical questions into clear implementations, working closely with an agile team to test ideas and build solutions.