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Develops and optimizes large-scale vision-language models for autonomous vehicle perception, training pipelines on multimodal sensor data to improve real-world driving decisions.
Develops machine learning models for autonomous vehicle perception, including sensor fusion and spatial-temporal representation learning, using large-scale real-world driving data.
Principal Software Engineer at Waymo builds and optimizes sensor-fusion foundation models for autonomous driving, using large-scale multi-modal data and deep learning toolkits.
Designs and optimizes large-scale machine learning pipelines for vision-language models to improve autonomous vehicle perception, using Python and deep learning frameworks.
Senior Machine Learning Engineer at Waymo to transition perception tasks from algorithms to ML, optimize sensor data pipelines, and integrate systems for autonomous driving using C++, Python, and computer vision.
Develops and deploys C++ algorithms for inertial navigation and sensor fusion in autonomous vehicles, improving positioning accuracy using real-world driving data and advanced estimation techniques.
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 optimizes machine learning models for autonomous vehicle perception systems, using large-scale sensor data and frameworks like PyTorch or JAX.
Designs and builds privacy systems for autonomous vehicles, ensuring GDPR compliance through anonymization, data pipelines, and access controls while collaborating with legal and engineering teams.
Designs and validates perception systems for autonomous vehicles, ensuring safety and performance through statistical analysis, simulation, and fleet data tools.
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…
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.
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.
Develops and improves machine learning models to generate high-fidelity simulation data for autonomous driving, focusing on realistic agent behavior and sensor accuracy.
Lead the design and deployment of auto-labeling systems and computer vision models to scale data pipelines for autonomous driving, using C++, Python, PyTorch, and TensorFlow.
Build and scale ML systems that continuously improve autonomous vehicle perception models using active learning, data curation, and large-scale pipelines.
Staff Tech Lead ML Engineer on Waymo's Perception team, designing multi-sensor model architectures for autonomous vehicle scene understanding and optimizing models for onboard compute using Python, C++, and frameworks like PyTorch/JAX/TensorFlow.
Waymo is hiring a Sr Staff Tech Lead / ML Engineer for its Perception team to set the technical roadmap for next-generation multi-modal perception of the Waymo Driver - architecting scalable sensor-fusion models, optimizing them for onboard hardware, leading cross-functional initiatives, and mentoring engineers. Core stack: Python, C++, and modern ML frameworks like PyTorch, JAX, and TensorFlow.
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