Who you are - Education: BS, MS, or PhD degree in CS, ML, AI, or a related quantitative field. Equivalent practical experience will also be considered - Industry Experience: 8+ years of industry experience in software engineering, with at least 5 years focused on ML/AI or Developer Productivity projects - Technical Leadership: 3+ years of experience leading technical teams, with an emphasis on promoting a collaborative and innovative environment - Technical Skills: Excellent programming skills in Python and C++. Experience building scalable, and performant software systems - Strategic Vision: Ability to define a strategic technical roadmap for DevAI, balancing short-term tactical goals with long-term progress - Collaboration: Experience working with teams to gather requirements, increase adoption, and integrate AI solutions - Continuous Learning: Experience staying current with the latest advancements in AI, ML, and DevProd, and a desire to apply the latest solutions to real-world problems - Agentic Systems Development: Practical experience designing, developing, and deploying agentic AI systems and frameworks (e.g. , using frameworks like AutoGen, LangChain, Semantic Kernel) - Understanding of multi-agent systems and their application - Model Building & Tuning: Demonstrated experience in building, fine-tuning, evaluating, and deploying large language models (LLMs) and other advanced ML models for specific domains and use cases - Experience with techniques like RLHF (Reinforcement Learning from Human Feedback) is a plus - Data Expertise: Experience with data cleaning, ingestion, and processing for large-scale ML model training, for code and domain-specific datasets - Developer Productivity: Experience in areas related to large-scale software development, developer tools, or internal platforms - Familiarity with code analysis, static analysis, or developer productivity tools would be a significant asset - Advocacy & Training: Experience facilitating adoption of new tools and technologies through training, documentation, and advocacy within a large engineering organization ### What the job involves - As we scale our autonomous driving technology, we are leaning into Developer AI (DevAI) to help enable our developers to rapidly solve the complex challenges of making real-time decisions in our engineering environments, optimizing performance on constrained hardware, and ensuring the efficiency and accuracy of our machine learning models - As TLM of the DevAI team, you will have a unique opportunity to contribute to a field at the forefront of AI innovation by developing best-in-class DevAI tools to solve mission-critical problems and accelerate developer productivity - Report into our Head of Infra Foundations - Build and lead a team responsible for Waymo's DevAI efforts - Develop an agentic ecosystem to solve core developer journeys - Build and tune models for Waymo-specific code, data, and use-cases - Facilitate adoption of DevAI tools across Waymo with training and advocacy