Sr. Applied ML Scientist - Driving Understanding & Evaluation - Waymo

Key Responsibilities

• Design and implement experiments to evaluate perception, planning, and control models in real‑world and simulated environments.
• Develop metrics and diagnostic tools that quantify model performance, robustness, and safety.
• Collaborate with cross‑functional teams to integrate evaluation results into the continuous improvement cycle of autonomous driving stacks.
• Publish findings in internal reports and external conferences, translating complex analyses into actionable insights.
• Mentor junior scientists and engineers on best practices in ML experimentation and reproducibility.

Requirements

• Ph.D. or Master’s in Computer Science, Machine Learning, or related field with 5+ years of industry experience.
• Proficiency in Python, TensorFlow/PyTorch, and large‑scale data pipelines.
• Deep understanding of model evaluation, statistical analysis, and safety‑critical ML systems.
• Experience with autonomous driving or robotics domains is highly desirable.
• Strong communication skills and a track record of publishing technical research.