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Senior/Staff ML Engineer at Waymo building ultra-realistic 3D/4D world models and generative systems for autonomous vehicle simulation using advanced ML techniques like diffusion models and VLMs.
Lead the design and development of machine learning systems to evaluate and improve Waymo's autonomous driving technology, focusing on reinforcement learning, generative models, and large-scale simulation workflows.
Senior engineer at Waymo designing and implementing regulatory compliance systems for autonomous driving, ensuring alignment with safety standards and international market entry requirements.
Senior engineer who leads safety analyses for autonomous vehicle systems, defining hazards, risks, and mitigations while collaborating with engineering and operations teams.
Leads architecture design for autonomous driving hardware, balancing performance, safety, and cost while collaborating across engineering teams to define next-gen systems.
Designs and enforces security requirements for autonomous vehicle systems, integrating hardware and software with OEMs while validating network and module protections.
Senior engineer designs and runs tests for autonomous vehicle perception systems, using simulation and real-world scenarios to validate safety and performance in edge cases.
Develops backend services for Waymo's autonomous ride-hailing platform, enabling users to book and control self-driving vehicles with a focus on scalability and reliability.
Designs and deploys real-time dynamic pricing algorithms for an autonomous ride-hailing marketplace, balancing supply, demand, and profitability using ML and distributed systems.
Develops and evaluates perception systems for autonomous vehicles, focusing on sensor health, calibration, and large-scale ML evaluation frameworks using C++ and AI techniques.
Develops and evaluates metrics to measure the performance of Waymo's autonomous driving software using simulation and real-world data, with a focus on C++, Python, and statistical analysis.
Develops statistical sampling methods and ML models to efficiently evaluate rare autonomous-driving scenarios, using C++, Python, and SQL in a large codebase.
Designs and deploys AI-driven quality processes to detect, triage, and resolve issues in Waymo’s autonomous driving software, ensuring safety and reliability as the system scales.
Waymo’s Software Quality Operations Specialist in London designs and deploys AI/ML tools to detect autonomous vehicle issues, triage driving events, and scale operations for new international markets like London.
Develops and maintains AI-driven quality assurance processes for Waymo’s autonomous driving software, analyzing driving events and deploying ML tools to ensure safety and scalability across new markets.
Evaluates and improves the safety and reliability of Waymo’s autonomous driving software by analyzing real-world driving data, identifying risks, and refining AI-driven quality processes.
Lead a data science team to rigorously evaluate Waymo’s autonomous driving system’s compliance with road rules, using statistical methods and cross-functional collaboration to improve safety and scale deployment.
Develops Android-based in-car interfaces for autonomous vehicles, including infotainment and ride controls, using Jetpack Compose and Kotlin.
Builds and scales machine learning infrastructure for autonomous vehicle perception systems, focusing on data flywheels, model training, and performance evaluation using large-scale real-world driving data.
Leads development of deep learning and generative AI models to evaluate and improve Waymo’s autonomous driving systems, using large-scale data and ML frameworks like TensorFlow and PyTorch.
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