Staff Machine Learning Engineer(TLM), Driver Understanding and Evaluation

Job description

Job responsibilities

• 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, collaborate seamlessly with product and business teams to design and implement tools for multi-label classifications, sentiment assessment, comment summarization, root cause analysis and…
• 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 Waymo to deliver on key strategic efforts.

Job requirements

• B.S. in Computer Science, Robotics, Machine Learning, similar technical field of study, or equivalent practical experience
• 7+ years of experience with 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
• Experience with ML frameworks such as TensorFlow, PyTorch, Hugging Face's transformers, along with expertise in deep learning models and ML deployment at scale