Staff Machine Learning Engineer(TLM), Driver Understanding and Evaluation
AI summary of the role
Lead the DUE Machine Learning team at Waymo, building scalable ML systems and simulation workflows to evaluate and improve the Waymo Driver's behavior.
What you’ll do
- Lead development of cutting-edge deep learning and ML models to enhance human-led triaging and introduce automation for high-volume workflows
- Design and build Gen AI LLM/VLM solutions for self-driving car behavior analysis and anomaly detection
- Develop a Reinforcement Learning from human preference-based data collection and evaluation system
- Enhance User Feedback Analysis with tools for multi-label classification, sentiment assessment, comment summarization, root cause analysis, and trend analysis of rider feedback
What you’ll bring
- B.S. in Computer Science, Robotics, Machine Learning, or equivalent practical experience
- 7+ years of hands-on experience in machine learning projects
- Strong coding experience in C++ and/or Python
- Experience in at least one of: Foundational Models, VLM, Deep Learning
Technologies
Deep Learning · LLM · VLM · Reinforcement Learning from Human Feedback · TensorFlow · PyTorch · Hugging Face Transformers · C++ · Python · MLOps
About Waymo
Builds the Waymo Driver autonomous driving stack and operates Waymo One robotaxi services, using large-scale real-world and simulated driving data to expand safely across cities.
Growth
Source and classification
Internal deployment & tooling · Evidence for this classification:
scene analysis to understand driving, understanding and augmenting real world driving data to generate rare driving events, build large scale data infrastructure, improve components such as agents and a realistic simulator. These technologies come together to drive the overall technical strategy and methodology used to evaluate the behavior of the Waymo Driver. The DUE Machine Learning team will build and operate scalable machine learning and data systems, simulation workflow and insight tools, improve and speed up the evaluation and onboard developer journeys. It will combine expert human judgements and advanced machine learning models to deliver training and evaluation data for hundreds of metrics and components that make up the Waymo driver. We are looking for researchers and software engineers who are passionate about developing machine learning techniques for the Evaluation
More from the job description
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 mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Driver Understanding and Evaluation (DUE) team at Waymo is developing rich metrics for understanding the behavior of the Waymo Driver in the real world, and technologies such as context and scene analysis to understand driving, understanding and augmenting real world driving data to generate rare driving events, build large scale data infrastructure, improve components such as agents and a realistic simulator. These technologies come together to drive the overall technical strategy and methodology used to evaluate the behavior of the Waymo Driver. The DUE Machine Learning team will build and operate scalable machine learning and data systems, simulation workflow and insight tools, imp [... source excerpt omitted ...] bout developing machine learning techniques for the Evaluation systems on our autonomous vehicles, and have an incessant drive to improve the performance of our technology stack. You will: Lead the development of cutting edge Deep Learning and machine learning models to enhance human-led triaging and introduce automation for high-volume workflows Design and build Gen AI LLM/VLM solutions for self driving car behavior analysis and anomaly detection Proactively monitor and assimilate best practices from within Alphabet and the broader industry to develop a Reinforcement Learning from human preference-based data collection and evaluation system. Enhance User Feedback Analysis, [... source excerpt omitted ...] s to design and implement tools for multi-label classifications, sentiment assessment, comment summarization, root cause analysis and trend analysis of rider feedback Oversee the production and optimization of machine learning models aiming to assess Waymo's expansive fleet of vehicles that cumulatively travel millions of miles. Drive technical direction, and provide technical inputs and guidance to the team. Work closely with PMs and TPMs to help define product requirements and align the technical agenda with the company's business objectives. Collaborate closely with multiple teams (e.g., Prediction, Planning, Research), other technical leads, and senior leaderships across Wa
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