The opportunity
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 Driver—The World's Most Experienced Driver™—to improve access to…
What you'll do
Design VLM/LLM model architecture and drive strong alignment between model: architectures and hardware architectures.
Optimize model performance for on-device use cases (memory, power, compute constrained environments).
Engage directly with research, software engineering, hardware engineering,: and product teams to deliver end-to-end solutions.
+ years of experience in Machine Learning, with a focus on large-scale model: development (LLM, VLM, or similar foundation models).
Proven expertise in low-latency on-device inference techniques and a deep: understanding of hardware acceleration.
Extensive experience with deep learning frameworks (e.g. PyTorch, JAX) and large-scale model training.
What they're looking for
- A track record of operating effectively under ambiguity, setting direction: amid rapidly evolving research and technical constraints
- Experience applying large language models or foundation models in complex,: safety-critical domains (e.g., autonomy, robotics, or other high-reliability systems)
- Master's degree in Computer Science, Electrical Engineering, or a related: field, or equivalent practical experience.
- Familiarity with large-scale data curation and quality assurance processes for multimodal datasets.