Staff Software Engineer, Machine Learning Simulation - Waymo

Our mission within the Driver Understanding and Evaluation (DUE) team at Waymo is to develop rich metrics for understanding the behavior of the Waymo Driver in the real world.

In this hybrid role, you will report to a Software Engineering Manager.

You will:

• Lead the development and optimization of the latest computer vision algorithms and machine learning models to enhance human-led evaluation and introduce automation for high-volume workflows
• Guide technical direction, and provide technical inputs and guidance to the team
• Collaborate with multiple teams (e.g., Prediction, Planning, Research, PMs, TPMs) and senior leadership across Waymo to achieve important strategic efforts

You have:

• B.S. in Computer Science, Robotics, Machine Learning, similar technical field of study, or equivalent practical experience
• Coding experience in C++ or Python.
• Experience in at least one of: Computer Vision, Foundational Models, NLP, or Robotics.
• 5+ years hands-on of experience in computer vision and machine learning projects
• Experience with ML frameworks such as TensorFlow, PyTorch, Hugging Face's transformers, along with expertise in deep learning models and ML deployment at scale

We prefer:

• M.S. degree Computer Science or related quantitative field with a specialization of machine learning
• Experience with building tools for applied machine learning, including MLOps, evaluation/validation techniques, and model performance optimization
• Large-scale data processing and experience building scalable, resilient, and observable distributed systems

#LI-Hybrid