Senior Staff ML Engineer, Driver Understanding and Evaluation

Qualifications

• PhD degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience
• 10+ years of hands-on experience in developing and applying Machine Learning models, with a significant focus on Reinforcement Learning
• 2+ years of people management experience
• Demonstrated expertise in deep learning, sequence modeling, and generative models
• Strong publication record or history of impactful project delivery in RL or related areas
• Proficiency in Python and standard ML frameworks (e.g., JAX, TensorFlow)
• Experience with large-scale distributed training and data processing
• Proven ability to lead complex and ambiguous technical projects from conception to completion

Preferred Qualifications

• 12+ years of relevant experience in ML/RL research and application
• Experience in the autonomous vehicles domain, robotics, or complex simulation environments
• Deep understanding of state-of-the-art RL techniques, including those used for fine-tuning large models (e.g., from human feedback/preferences)
• Familiarity with large-scale simulation platforms and their integration with ML training workflows
• Experience designing and using metrics for evaluating complex AI systems
• Track record of technical leadership, influencing senior stakeholders, and driving innovation across team boundaries