The mission of the Waymo Applied Research team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of the safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet.

This hybrid role will report to a Perception Research Manager

You will:

• Lead the effort of model-platform co-optimization for Waymo's perception foundation model
• Dive deep to training and inference efficiency on various platforms such as TPU, GPU, and CPU
• Collaborate with other teams, such as perception, simulation, and ML infrastructure, to drive the model optimization
• Be curious, innovative, and productive

You have:

• Hands on experience with designing or optimizing neural networks using Transformers and ConvNets
• Experience on optimizing model efficiency for either large-scale training or inference
• Able to learn new models and new frameworks
• Track record of optimizing ML models

We prefer:

• Experience on low-level optimizations, on CPU/GPU/TPU.
• Experience on designing or evaluating or optimizing Transformers

#LI-Hybrid