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Senior engineer building AI/ML infrastructure for autonomous-driving simulations, scaling multi-billion-parameter foundation models on large distributed systems.
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.
Develops and maintains Angular-based internal tools for Waymo’s autonomous vehicle fleet monitoring, using TypeScript and full-stack development practices.
Senior engineer building ML infrastructure for Waymo's ride-hailing marketplace—scaling the economic engine and automating ML model training, deployment, and inference for real-time pricing, matching, and routing decisions. Core tech includes Java/C++, Python, TensorFlow/PyTorch, and large-scale backend systems.
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.
Develops and optimizes machine learning models for autonomous vehicle perception systems, using large-scale sensor data and frameworks like PyTorch or JAX.
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 the design and scaling of AI/ML infrastructure for billion-parameter foundation models used in ultra-realistic autonomous-driving simulations, collaborating with research teams to improve simulation fidelity.
Staff Software Engineer at Waymo designing and leading evaluation frameworks for autonomous driving simulation, blending C++/Python systems with AI-driven virtual environments to validate realism.
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…
Leads a team developing machine learning models to evaluate and improve autonomous vehicle behavior using deep learning, Gen AI, and large-scale simulation systems.
Senior ML engineer at Waymo building and evaluating AI-driven simulation systems to validate realism of autonomous driving scenarios using generative models and multimodal evaluation tools.
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.
Leads cross-functional programs to integrate simulation into machine learning workflows for autonomous driving, coordinating releases and scaling ML-based evaluation tools.
Develops and improves machine learning models to generate high-fidelity simulation data for autonomous driving, focusing on realistic agent behavior and sensor accuracy.
Develops and maintains petabyte-scale data systems and ML pipelines for autonomous driving foundation models using frameworks like JAX and Flume/Beam.
A senior machine learning engineer at Waymo optimizes generative models and simulations for autonomous driving, focusing on performance, efficiency, and scalability using advanced ML techniques and hardware accelerators.
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