Staff Machine Learning Engineer, Infrastructure is a ML Infrastructure Engineer role (full-time). with Waymo. in SAN FRANCISCO, US. Compensation shown: $251K–$310K. Imported listing (source: aihiringboard.com). Apply on the employer's site (aihiringboard.com).
Imported listing (source: aihiringboard.com) · Apply on aihiringboard.com
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from aihiringboard.com
Waymo is seeking a Staff Machine Learning Engineer to join its ML Infrastructure team, focusing on advancing ultra-realistic multi-agent simulations using foundation models. The role involves designing and optimizing simulation environments on TPUs with JAX and TensorFlow, implementing large-scale model and data parallelism, and collaborating with modeling teams to integrate foundation models into simulation pipelines. This position is critical for powering realistic environments for Reinforcement Learning and supporting Waymo's autonomous driving technology.
Responsibilities
Design, build, and optimize realistic simulation environments and business logic running on TPUs using JAX and TensorFlow.
Implement and optimize large-scale model and data parallelism strategies for training and running foundation models on TPU hardware.
Collaborate closely with modeling teams to integrate foundation models into simulation pipelines.
Drive technical architectures and system designs from data engineering through simulation execution to meet business and performance objectives.
Profile systems, identify performance bottlenecks across ML accelerators, and optimize end-to-end execution speed.
Translate product and business goals into concrete technical requirements and system deliverables.
Waymo is an Alphabet-founded autonomous-driving technology company focused on making transportation safer, easier, and more accessible. Its Waymo Driver provides fully autonomous driving, and the company operates Waymo One, an autonomous ride-hailing service; it also develops related delivery and freight applications.