Senior Software Engineer, AI/ML, Google Labs

Software EngineerGoogle'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: $174000 - $252000 (USD) + 15% bonus target + equity + benefitsMinimum Qualifications:Bachelor's degree or equivalent practical experience.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 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.3 years 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 related technical field.5 years of experience with data structures and algorithms.1 year of experience in a technical leadership role.Experience developing accessible technologies.Responsibilities:Design and build Minimum Viable Tests (MVTs) and functional prototypes to rapidly de-risk novel AI agent concepts. Execute targeted technical spikes to prove core feasibility and overcome critical architectural hurdles within strict, 4-week exploratory sprints.Apply deep expertise in agentic systems, including planning, memory, context management, tool-use, and loops, to rapidly prototype and evaluate novel solutions for design, coding and product building.Operate with a "rolled-up mindset" by seamlessly blending the responsibilities of Software Engineering, Product Management, Research, Data Science and UX Research.Prioritize learning and prototyping over perfect code. Design clever, high-speed tests too validate User Value, Strategic Value, and Feasibility, generating raw signal before committing to heavy infrastructure.Analyze early technical and user signals to evaluate the project viability.