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
Lead the design and development of multi-sensor, multi-task model: architectures for dense and complete scene understanding with a focus on key tasks including object detection, occupancy prediction, road understanding, and trajectory planning.
Architect and develop the foundational modeling libraries and software: powering model development and experimentation.
Design and implement scalable core model components, including sensor: encoders, sensor fusion modules, backbones, and temporal aggregation / memory blocks.
Adapt SOTA ML technologies to unique compute requirements, leading: optimizations for latency, throughput, and memory to operate efficiently within strict compute budgets.
Drive rapid prototyping by building and maintaining flexible pipelines and: development environments for fast iteration on novel model designs, enabling seamless integration of field advancements and in-depth analysis of model training dynamics and learned representations.
Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
What they're looking for
- + years experience in Machine Learning and/or Computer Vision
- Strong expertise in Python and C++ and a solid software engineering background
- Experience with ML frameworks like PyTorch, JAX, or Tensorflow
- MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline
