Senior Product Manager, DevAI & Agentic Workflows

🏢 Summary: Product Manager role focused on Simulation & Evaluation platforms for large AI models powering autonomous driving systems. The position drives the development of next-generation simulation products to validate and reward production ML models, collaborating closely with engineering, research, and data science teams. It involves shaping scalable AI-centric products and enabling safe deployment of foundation models in autonomous vehicles. 🗂️ Requirements: 5+ years experience in analytical and AI-centric products, Strong understanding of foundation models, Knowledge of distributed systems, Experience with data infrastructure, Proven experience building phased product roadmaps for complex AI systems, Ability to define and evaluate quantitative ML metrics, Experience collaborating with ML researchers and data scientists 📃 Skills: AI, MachineLearning, FoundationModels, DistributedSystems, DataInfrastructure, Simulation, Evaluation, DataScience, Robotics, AutonomousVehicles, Metrics, Precision, Recall 🏢 Description: Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.Waymo’s Product Management Team is a mission-driven team responsible for writing and enacting first-of-their-kind playbooks to bring fully autonomous driving technology to market. Our team develops simple solutions for complex problems by orchestrating cross-functional efforts to safely drive Waymo’s technology and the products it enables forward. We do this by understanding the customer, the business, and the technology. We are humble about the scope of our work, collaborative in our approach to problem-solving, and ambitious about our vision for the future. This role follows a hybrid work schedule and reports to Rob Speare, Group Product Manager. You will: Work with a world class team of engineers, data scientists, and machine learning practitioners to shape the platform we use to simulate and evaluate Large models that power the Waymo Driver Push the boundaries of the Waymo Driver through next generation Simulation & Evaluation products, rewarding and validating our most important production models Understand and champion Model Developers by deeply embedding with engineers Own the product: Forge deep partnerships with Research, Simulation, Data Science, and Systems Engineering to streamline the path to launch You have: Technical Depth: 5+ years of experience in analytical and AI-centric products. You are comfortable discussing Foundation models, distributed systems, and data infrastructure Product Vision at Scale: A proven track record of decomposing "moonshot" visions into concrete, phased roadmaps Influential Leadership: Experience managing complex stakeholder environments, from ML researchers to safety boards and executive leadership We prefer: Foundation Model Implementation: Experience distilling large teacher models into students Quantitative & Analytical Rigor: Ability to partner with Researchers and Data Scientists to define complex success metrics, including "Evaluating the Evaluator" (e.g., Distributional metrics, Precision/Recall, Bias/Variance) AV or Robotics Domain Knowledge: Familiarity with the unique challenges of autonomous vehicle evaluation, including simulation realism, log-based testing, and safety gating processes The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$241,000—$306,000 USD

🏢 Summary: Hybrid Product Manager role focused on simulation and evaluation platforms for autonomous driving systems, enabling safe launch of the Waymo Driver in new environments and vehicle platforms. The role drives data-driven safety assessment, feature launches in simulation, and cross-functional collaboration with ML, data science, and engineering teams. 🗂️ Requirements: 5+ years experience in AV, Robotics, or ML/AI-based products, Experience in analytical or AI/ML roles working with data scientists, Experience with distributed systems, data infrastructure, or cloud computing, Experience defining and executing evaluation plans for technical products, Ability to translate long-term product vision into actionable technical plans 📃 Skills: MachineLearning, AI, Simulation, Evaluation, AutonomousVehicles, Robotics, DistributedSystems, DataInfrastructure, CloudComputing, SyntheticData, SensorSimulation, Experimentation, DataAnalysis 🏢 Description: Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.Waymo’s Product Management Team is a mission-driven team responsible for writing and enacting first-of-their-kind playbooks to bring fully autonomous driving technology to market. Our team develops simple solutions for complex problems by orchestrating cross-functional efforts to safely drive Waymo’s technology and the products it enables forward. We do this by understanding the customer, the business, and the technology. We are humble about the scope of our work, collaborative in our approach to problem-solving, and ambitious about our vision for the future. This role follows a hybrid work schedule and you will report to the Group Product Manager. You will: Understand our users; There are many different ways we leverage simulation and on-road data to make decisions at Waymo: improve models that drive the car, assess our performance in a new environment or validate the readiness of a new vehicle platform. Each of these decisions requires a commitment to safety Work with a team of world class data scientists, engineers, machine learning practitioners to evaluate the safety and quality of our driving behavior in a data-driven way Power the launch of the Waymo Driver in new environments (markets, vehicle platforms, and driving scopes) by designing and executing an evaluation plan Land features throughout simulation (such as synthetic data generation, sensor simulation and simulated agents) to increase signal and improve our ability to learn from simulation Work closely with Onboard developers who use our products to assess large model launches, to build sim & eval products that increase the quality and speed of launches You have 5+ years experience working on AV, Robotics, or products that utilize Machine Learning or AI Experience in analytical roles or AI / ML roles, interacting with data scientists Experience working in distributed systems, data infrastructure and/or cloud computing Ability to think about long-term product vision, and then decompose that into concrete, actionable plans with cross-org alignment We prefer Experience with Simulation or Evaluation of AVs, Large Foundational Model training / evaluation pipelines or the evaluation / experimentation platforms for large production systems (Ads, Search, Ranking, etc..) Experience launching new features in an evaluation / experimentation platform used by Data Scientists or engineers Experience building tools, especially simulation or eval platforms used by engineers and / or data scientists. Emphasis on building simple, guided User Experiences Master's degree in a technical or engineering field, or equivalent practical experience The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$238,000—$302,000 USD

🏢 Summary: Role focused on developing and productionizing machine learning models to evaluate and improve the behavior of autonomous vehicles at scale. The position involves building ML infrastructure, large-scale data and simulation workflows, and deploying state-of-the-art models into production systems. It requires close cross-team collaboration to enhance model performance and driver evaluation systems. 🗂️ Requirements: BS in Computer Science, Robotics, Statistics, Physics, Math or related quantitative field or equivalent experience, 4+ years building production ML models, Experience deploying ML models to production systems, Strong coding skills in Python and/or C++, Background in applied Deep Learning, Proven track record of improving model quality 📃 Skills: Python, C++, MachineLearning, DeepLearning, ReinforcementLearning, TransferLearning, DataSystems, Simulation, Algorithms 🏢 Description: Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.The Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack. This role follows a hybrid work schedule and reports to an Engineering Manager. You will: Develop ML models that assess our autonomous vehicle's behavior. Develop ML infrastructure to support performant models. Collaborate across teams to bring state-of-the-art to production. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area, or equivalent work experience 4+ years of experience building productionized ML models Code and design skills: comfort building production systems (Python / C++) Background in applied Deep Learning A track record in improving model quality We prefer: 6+ years of experience building productionized ML models Experience in reinforcement learning, transfer learning, or learning. Experience with large scale data and models The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$238,000—$302,000 USD

🏢 Summary: Product Manager role focused on defining and delivering the vision, strategy, and roadmap for Perception ML training workflows, including data extraction, transformation, and intelligent data selection for large-scale model development. The role drives platform innovations to accelerate ML model velocity, improve data quality, and enhance onboard model performance. It involves end-to-end ownership of complex ML platform components in close collaboration with engineering and research teams. 🗂️ Requirements: Bachelor’s degree in Computer Science, Mathematics, Engineering or related technical field, 4+ years of Product Management experience with complex technical products, Strong understanding of machine learning workflows and data pipelines, Experience with developing and deploying ML models at scale, Ability to translate technical requirements into product specifications, Experience collaborating closely with engineering teams 📃 Skills: MachineLearning, DataPipelines, DataLakes, FeatureStores, Transformers, DataMining, ActiveLearning, SemiSupervisedLearning, OutlierDetection, ModelTraining, DataInfrastructure, DistributedSystems 🏢 Description: Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.Waymo’s Product Management Team is a mission-driven team responsible for writing and enacting first-of-their-kind playbooks to bring fully autonomous driving technology to market. Our team develops simple solutions for complex problems by orchestrating cross-functional efforts to safely drive Waymo’s technology and the products it enables forward. We do this by understanding the customer, the business, and the technology. We are humble about the scope of our work, collaborative in our approach to problem-solving, and ambitious about our vision for the future. This role follows a hybrid work schedule and reports and you will report to a Director of Product Management. You will: Define and champion the product vision, strategy, and roadmap for Perception ML Training workflows, focusing on data extraction, data transformation and preparation, and intelligent data mining and selection for large model training and evaluation Deeply understand the needs, pain points, and opportunities of Perception ML engineers and researchers, translating these insights into clear platform requirements, features, and priorities Lead the end-to-end product lifecycle for key platform components, from ideation and requirements definition through launch and iteration, ensuring a seamless experience for our internal users Drive initiatives to demonstrably accelerate ML model development velocity, improve data quality and accessibility, and ultimately enhance onboard model performance through platform innovations Collaborate closely with world-class Engineering, Research, and ML Platform teams to deliver impactful solutions, define and track success metrics, and ensure tight alignment with Waymo's overall goals You have: A Bachelor's degree in a technical field such as Computer Science, Mathematics, or Engineering, or equivalent practical experience 4+ years of Product Management experience, with a proven track record of defining, launching, and scaling complex technical products A strong understanding of machine learning workflows, data pipelines, and the common challenges faced in developing and deploying ML models at scale Demonstrated ability to translate complex user needs and technical details into clear product specifications and to partner effectively with engineering teams on execution Excellent problem-solving, analytical, communication, and interpersonal skills, with the ability to influence and align cross-functional teams and stakeholders We prefer: Hands-on experience with large-scale data infrastructure (e.g. data lakes, feature stores), distributed data mining and processing frameworks, and large transformer model training workflows Direct product management experience with advanced data mining/sampling techniques and training dataset curation Familiarity with concepts in active learning, semi-supervised learning, outlier detection, or hard example mining Experience in the autonomous vehicles industry, robotics, or other domains with complex safety-critical real-world AI/ML applications The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$204,000—$259,000 USD

🏢 Summary: Software Engineer role focused on developing and scaling business logic and evaluation systems to improve the performance, safety, and driving behavior of an autonomous driving platform. The position involves analyzing large-scale real-world and simulated driving data, collaborating cross-functionally, and integrating ML models into production systems. The role emphasizes scalable architecture and data-driven evaluation for autonomous systems. 🗂️ Requirements: Bachelor’s degree in Computer Science, Robotics, Math, Physics, Statistics or related technical field, 6+ years of software engineering experience, Strong proficiency in Python or C++, Experience debugging and improving production systems, Experience designing scalable software architectures for complex systems 📃 Skills: Python, C++, MachineLearning, DataAnalysis, Simulation, SoftwareArchitecture, AutonomousSystems, Debugging 🏢 Description: Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.The Planner Reasoning Team builds technology that has an extremely broad impact across the Waymo organization and is the team most directly responsible for the Waymo Driver’s behavior. We have wide reaching impact into both onboard and off-board system architecture, paving the way for future-looking deep-learning-based explorations. In this team, you'll have an impact on scaling our Waymo Driver's performance and maintaining and improving our excellent safety record as Waymo expands to more cities. In this hybrid role, you will report to an Engineering Manager. You will: Develop business logic software to evolve driving performance of the Waymo Driver Work cross-functionally on safety, road rules compliance, and ride quality Develop and implement methods to evaluate and improve Waymo driving behaviors Evaluate new proposed changes utilizing a range of data-driven methods Analyze large amounts of data of real world and simulated driving, understanding, characterizing and clustering the performance of the Waymo Driver Interact with ML models to maximize their impact towards solving driving problems You have: Bachelors in Computer Science, Robotics, Math, Physics, Statistics (or similar technical field of study) or equivalent practical experience 6+ years of Software Engineering experience in Python or C++ Experience debugging and improving live, production systems Experience with designing scalable software architectures for complex systems Demonstrated alignment with Waymo’s Values and Behaviors We prefer: Proficiency in C++ Experience with large-scale data/ML applications Evaluation experience, contributing to scalable evaluation workflows Experience with autonomous systems The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$213,000—$263,000 USD

🏢 Summary: Hybrid Software Engineering role focused on developing algorithms and tools for safe, smooth, and predictable behavior of fully autonomous vehicles. The position involves solving complex robotics, perception, motion planning, and machine learning problems, and scaling solutions to large data pipelines and real-time systems. The engineer collaborates cross-functionally to build and refine the core intelligence of Level 4 autonomous driving systems. 🗂️ Requirements: BS in Computer Science, ML, Robotics or related technical field or equivalent practical experience, 5+ years software engineering experience, Strong C++ programming skills, Experience writing efficient, production-quality code, Experience collaborating with cross-functional engineering teams 📃 Skills: C++, Robotics, MachineLearning, MotionPlanning, Perception, Algorithms, DataPipelines, Simulation 🏢 Description: Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we'd like to meet you. In this hybrid role, you will report to Technical Lead Manager You will: Work with a creative team of people who ensure that the behavior of our cars is safe, smooth, and predictable to other road users, which includes gracefully handling many complex situations involving social aspects (merging, negotiating narrow roads), while dealing with noisy, uncertain, and incomplete information. Frame the open-ended real-world problems into well-defined engineering problems; develop tools, algorithms and evaluation mechanisms; scale them to Google-sized data pipelines; and refine them to run in real-time on the cars. You have: BS in Computer Science, ML, Robotics, similar technical field of study, or equivalent practical experience 5+ years general software engineering experience programming in C++ with efficient code Experience collaborating with different teams We prefer: MS in Computer Science, ML Robotics, similar technical field of study General software engineering experience solving motion planning or related robotics problems Experience solving or evaluating ML-based systems The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$204,000—$259,000 USD

🏢 Summary: Hybrid Product Data Science role focused on developing machine learning, optimization, and reinforcement learning models to improve marketplace efficiency in an autonomous ride-hailing platform. The position involves predicting key marketplace metrics, optimizing vehicle assignment and positioning, and running experiments to validate model performance. The role collaborates cross-functionally with Engineering and Product to scale data-driven decision-making. 🗂️ Requirements: Statistical knowledge, Proficiency in Python, Proficiency in SQL, Experience with Machine Learning, Experience with Reinforcement Learning, Experience with experimentation, Minimum 4 years of industry experience 📃 Skills: Python, SQL, MachineLearning, ReinforcementLearning, Optimization, CP-SAT, CPLEX, Gurobi, Statistics, Experimentation 🏢 Description: Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.Waymo’s Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company — from driving quality and operational efficiency to market analysis and rider satisfaction scores — we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information. This role follows a hybrid work schedule and you will report to a Product Data Science Lead You will: Partner with Engineer, Product and Data Science teams to develop Machine Learning models to improve the efficiency of Waymo’s Marketplace Apply ML models to predict conversion, wait times, retention and build better understanding of vehicle values in different positions Apply optimization models to optimize assignment of Waymo cars to customers or positioning locations Build novel reinforcement learning models that continually iterate over the parameters in pricing, matching and positioning Define, conduct and evaluate experiments on new models You have: Statistical knowledge Coding skills (Python and SQL) Experience with Machine Learning Experience with Reinforcement Learning Experience with experimentation At least 4 years of industry experience We prefer: Experience with optimization modeling and implementation using solver packages (e.g. CP-SAT, CPLEX, Gurobi, etc…) Experience with optimization Experience at another Ride hailing or Marketplace company The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$196,000—$248,000 USD

🏢 Summary: Hybrid Machine Learning Engineer role focused on building and scaling multi-modal sensor fusion and spatial-temporal perception models for autonomous driving. The position involves developing large-scale training, fine-tuning, and evaluation pipelines to improve object detection, tracking, and scene understanding in production systems. 🗂️ Requirements: Bachelor’s degree in Computer Science or related field or equivalent deep learning experience, 3+ years of experience in Machine Learning or Computer Vision, Experience with Python, Experience with PyTorch or JAX, Experience building and training large-scale ML models, Experience with model evaluation and performance metrics 📃 Skills: Python, PyTorch, JAX, MachineLearning, ComputerVision, SensorFusion, DeepLearning, DistributedTraining, C++ 🏢 Description: Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware. In this hybrid role you will report to a Technical Lead Manager. You will: Apply machine learning techniques to build multi-modal sensor fusion architectures and spatial-temporal representation learners for object detection and tracking, occupancy and semantic segmentation, road understanding, etc. Develop scalable recipes for large data, large model training running on Alphabet’s compute infrastructure, create methods and recipes for pre-training and post-training. Develop methods and recipes for distributed fine-tuning enabling multiple developers to simultaneously improve the model, develop methods and recipes to avoid regression against a production system. Develop and maintain model evaluation recipes and metrics for measuring and improving performance of pre-trained and fine-tuned models You have: Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience 3+ years experience in Machine Learning and/or Computer Vision Experience with Python Experience with ML frameworks like PyTorch or JAX We prefer: MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, PAMI Experience with C++ The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$170,000—$216,000 USD

🏢 Summary: Senior engineer role focused on designing and implementing evaluation frameworks for large ML models powering autonomous driving systems. The position centers on developing metrics, simulation strategies, and data pipelines to rigorously assess model performance and safety at scale. The role involves close collaboration with ML and research teams to translate quantitative insights into production-ready evaluation tools. 🗂️ Requirements: 7+ years industry experience in quantitative software engineering, Proficiency in Python or C++, Experience with software design principles and testing methodologies, Experience with version control systems, Experience building large-scale data processing or evaluation pipelines, Strong knowledge of AI fundamentals including transformer architectures, Experience evaluating machine learning models, Experience productionizing quantitative tools, Ability to define technical strategy and roadmaps 📃 Skills: Python, C++, MachineLearning, Transformers, Simulation, DataPipelines, DataAnalysis, JAX, TensorFlow, VersionControl, Testing, Robotics 🏢 Description: Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.The Large Model Evaluation team is at the nexus of Waymo’s AI ambition. With advancements in Large Language Models (LLMs) and Vision-Language Models (VLMs), Waymo is building state-of-the-art AI systems that handle the full complexity of real-world driving. At its core, our progress is defined by our ability to measure it. While robust evaluation is the bottleneck for deploying any large model, the challenge at Waymo is uniquely complex and safety-critical. We are looking for quantitatively-minded engineers to research and propose new ways to assess the ML models deployed in the Waymo Driver. You will: Develop novel metrics and sampling techniques to measure the driving trajectories generated by ML models. Employ creative simulation strategies to measure the driving performance of generative AI models. Identify potential edge cases, and provide reliable performance insights that inform model development and deployment. Build data pipelines for signal discovery, data labeling, feature extraction and metric computation based on large-scale simulations. Conduct data analysis to diagnose regressions in ML models. Collaborate with world-class engineering and research teams that develop large-scale ML models. You have: 7+ years of relevant industry experience in a heavily quantitative software engineering area Experience navigating complex technical and product landscapes, defining technical strategy, and creating roadmaps. Software Engineering Fundamentals: Proficiency in programming in Python or C++ Experience with software design principles, coding best practices, testing methodologies, and version control software. Experience building software pipelines for data processing, system evaluation, or metric computation, in the context of large-scale systems. Machine learning & Quantitative Experience Knowledge of AI fundamentals, such as transformer architectures, distillation techniques, etc. Experience evaluating the quality of ML models Demonstrated experience taking quantitative findings through to productionized tools. We prefer: Experience with simulation systems, robotics, or autonomous vehicles. Familiarity with one of the modern deep learning frameworks (e.g. JAX, Tensorflow) Experience leading a team of Engineers The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$238,000—$302,000 USD

🏢 Summary: Hybrid Product Manager role focused on Regulatory Reporting for autonomous vehicle operations, driving tools and process improvements to meet regulatory requirements at scale. The position partners with engineering, UX, and data science to automate reporting and define roadmaps, metrics, and cross-functional processes. It centers on building technical solutions to support compliant, efficient fleet and event response operations. 🗂️ Requirements: BS in Computer Science or related technical degree, 5+ years product management experience in large-scale technical organization, Experience building roadmaps in complex, unstructured technical domains, Ability to collaborate with engineering, UX, and data science teams, Experience defining metrics and prioritization for technical products, Strong technical communication skills 📃 Skills: ProductManagement, ComputerScience, RegulatoryReporting, Automation, DataAnalysis, UX, Engineering, Roadmapping, Metrics, Compliance 🏢 Description: Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.Waymo’s Product Management Team is a mission-driven team responsible for writing and enacting first-of-their-kind playbooks to bring fully autonomous driving technology to market. Our team develops simple solutions for complex problems by orchestrating cross-functional efforts to safely drive Waymo’s technology and the products it enables forward. We do this by understanding the customer, the business, and the technology. We are humble about the scope of our work, collaborative in our approach to problem-solving, and ambitious about our vision for the future. This role follow a hybrid work schedule and reports to the Manager of Fleet & Event Response. You will: Develop a deep understanding of the Regulatory Reporting landscape affecting Waymo Determine what tools and process improvements are needed to efficiently meet all Regulatory Reporting requirements and operations needs Work with engineers, UX and DS to automate reporting as much as possible Understand the role of each cross-functional team (operations, safety, on-call, regulatory, and legal, TPM) in all events that are of interest to regulators Develop a clear point of view on goals and prioritization, including success metrics You have: BS degree in Computer Science degree or related technical degree 5+ years of product management experience at a highly technical, large scale organization Strong bias-to-action, independence, and ability to execute Demonstrated ability to develop a roadmap out of a large, unstructured space Strong written and verbal communication skills We prefer: MBA degree and/or consulting experience Technically adjacent skills such as prior engineering or PM on technical product experience Experience working with legal and public policy The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$204,000—$259,000 USD