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Develops AI-driven automation for autonomous vehicle sensor maintenance and fleet operations, using machine learning and robotics to improve efficiency in a hybrid work environment.
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.
Develops and deploys AI-driven quality assurance processes to detect, triage, and resolve issues in autonomous vehicle software, ensuring safety and reliability during rapid expansion.
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.
This role ensures the safety and reliability of Waymo's autonomous driving software by developing AI-powered quality control processes, analyzing driving events, and scaling operations for rapid expansion into new cities and vehicle platforms.
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.
A senior machine learning engineer at Waymo builds and scales AI systems for autonomous driving, focusing on reinforcement learning, generative models, and evaluation workflows to improve self-driving performance.
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.
Leads the design and implementation of evaluation systems for large vision and language models used in autonomous driving, building benchmarks to assess model quality, safety, and realism.
Leads a team developing machine learning models to evaluate and improve autonomous vehicle behavior using deep learning, Gen AI, and large-scale simulation systems.
Technical Program Manager at Waymo plans and executes projects for autonomous driving systems, coordinating engineering, product, and research teams to deploy AI-driven vehicle technology.
Lead the design and development of advanced agentic AI systems for autonomous vehicle evaluation, using LLMs and multi-agent orchestration to automate triage and complex reasoning loops.
Designs and optimizes large vision-language and language models for autonomous driving, focusing on hardware-aligned architectures and on-device performance in a safety-critical environment.
Senior ML Engineer builds and deploys computer vision and vision-language models to generate high-fidelity labels for autonomous driving, using deep learning, generative AI, and reinforcement learning at scale.
Lead a team of Technical Program Managers to define and execute Waymo's long-term strategy for simulation and ML evaluation platforms, integrating ML deeply into development workflows and scaling infrastructure for autonomous driving.
Develops and maintains scalable, low-latency ML inference pipelines and platforms for autonomous driving models, working with large-scale distributed systems and C++.
Provide legal guidance on cybersecurity compliance and risk management for Waymo’s autonomous driving technology, collaborating with engineering and security teams to address regulatory and operational challenges.
Leads the design and implementation of autonomous agent systems to evaluate and improve Waymo's self-driving technology, focusing on multi-agent orchestration and AI-driven workflows.
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