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Analyze and improve Waymo’s autonomous ride-hail demand and service quality using SQL, dashboards, and AI to guide operations and boost rider retention.
Architects custom autonomous vehicle platforms, balancing hardware layouts and OEM requirements to enable Waymo’s ride-hail service and future mobility products.
Senior Product Data Scientist at Waymo building forecasting and optimization models to guide autonomous vehicle deployment, capital investment, and long-term growth planning using Python, SQL, and ML.
Staff Business Intelligence Analyst at Waymo designs and maintains KPIs and data pipelines to measure operational safety and quality for the autonomous vehicle fleet, using SQL, Python, and BI tools.
Staff Data Scientist designs and runs experiments to improve Waymo’s autonomous ride-hailing marketplace, using causal inference and statistics to guide product decisions.
Lead a team of senior engineers to design and scale the core software platform that assigns and manages tasks for Waymo's autonomous vehicle fleet, ensuring safety and reliability at scale.
Designs and improves HR service workflows in ServiceNow, automates People Ops processes with AI, and partners with IT to streamline employee lifecycle events like onboarding and transfers.
Designs and implements risk assessment methodologies for autonomous vehicle safety, using data science and systems engineering to guide product development and regulatory compliance.
Designs and delivers technician training programs for Waymo’s autonomous vehicle fleet maintenance, ensuring safety and compliance through hands-on and classroom instruction.
Lead the product vision and strategy for Waymo’s autonomous-vehicle simulator, collaborating with engineering and research to integrate AI/ML models and improve simulation realism for safe AV deployment.
Analyzes autonomous driving data to define metrics, validate system performance, and collaborate cross-functionally on hardware/software integration for Waymo’s safety-critical mobility solutions.
Design next-gen SoCs for autonomous vehicles, defining hardware specs and RTL while optimizing performance, power, and latency for Waymo’s compute platform.
Owns the vehicle cybersecurity roadmap, aligning engineering, product, and operations to design and implement security features for autonomous driving systems across vehicle platforms.
Designs scalable quality architectures and meta-QA frameworks to validate Waymo’s autonomous driving system, using Python/C++ and automation to maintain high test coverage and reliability.
Build and operate petabyte-scale ML pipelines and infrastructure to train, benchmark, and deploy foundation models for Waymo’s autonomous driving systems using frameworks like JAX and Flume.
Design and build scalable testing systems for autonomous vehicle collision avoidance, integrating simulation tools and mentoring engineers.
Build and deploy multimodal LLMs and world models for 3D perception in autonomous vehicles using camera, LiDAR, and radar data.
Develops and deploys machine-learning recipes for autonomous-driving agents, working with large-scale data, evaluation pipelines, and foundation models to improve safety and realism.
Manage and integrate global security systems (access control, video, alarms) across Waymo’s EMEA sites, ensuring compliance and incident response readiness.
Lead Waymo’s EMEA threat intelligence efforts, producing regional assessments and briefings to mitigate risks to autonomous vehicle operations and personnel.
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