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Lead the experimentation science roadmap for Waymo's marketplace platform. Design advanced causal inference and experimental methods for spatial-temporal and network effects, set best practices, partner with engineering to productionize pipelines, and translate results into clear product strategy for stakeholders.

Design and implement scalable C++ and Python backend systems for simulation data generation and management. Build and optimize large-scale multi-modal data pipelines, implement lifecycle management, versioning, and storage, improve platform performance and reliability, and collaborate with engineers and researchers on data APIs and long-term architecture.

Manage and deploy brand media strategies across digital and offline channels to enhance brand visibility and support growth marketing. Collaborate cross-functionally to analyze investments' impact on growth metrics, and optimize media allocation while guiding agency partners for effective execution.

Build and scale Waymo’s ride-hailing marketplace systems for trip management, vehicle-rider matching, pricing, and vehicle positioning. Develop infrastructure to train and deploy machine learning and optimization models for real-time decisions. Create experimentation, monitoring, and analysis systems for deployed models, and partner with data scientists to productionize pricing and matching models.

Lead development of vehicle platform concepts and layouts for autonomous and TaaS vehicles. Collaborate with Product, Systems, Design, and OEM partners using 3D CAD to resolve subsystem conflicts, set package targets, and present concepts to executive leadership and external partners.

As a Staff Machine Learning Engineer, you will enhance AV simulations using foundation models, lead experiments, develop realism metrics, and manage teams.

Improve distributed input data pipelines for large-scale ML training workloads, collaborating with researchers to enhance data processing systems and implement advanced ML infrastructure tools.

The Technical Training Manager will oversee training programs for vendors and partners, ensuring effective delivery and compliance with safety standards, while managing training qualifications and external partnerships.

Define and own vehicle system security requirements and architectures. Collaborate with OEMs and systems engineers to implement network/module security. Create security requirements for software interfaces, develop and execute V&V plans, run tests, analyze results, resolve defects, and manage delivery timing of security features and software updates across vehicle prototypes.

Lead cybersecurity evaluations, define item boundaries and cybersecurity concepts, and perform ISO/SAE 21434-compliant threat analysis and risk assessments (TARA). Define and manage security requirements and risk treatments for self-driving platform features, collaborate with engineering and safety teams across the product lifecycle, and maintain standards compliance across multiple projects.