Senior Multimodal Perception Scientist for Driving AI

Waymo; San Francisco (CA); Hybrid; USD 251,000 - 310,000; Full time

Benefits offered by this job

Health, dental, vision, life, disability insurance

401(k) with company match

20 days of vacation per year

Paid maternity and baby bonding leave

13 paid holidays

Job summary

Waymo, based in San Francisco, is seeking a highly qualified individual for a research role focused on developing advanced Multimodal LLMs and perception models. The position demands a PhD or Masters in a relevant field and offers a hybrid work schedule.

Successful candidates will work with state-of-the-art technologies in a rapidly evolving environment, contributing to making autonomous driving safe and accessible. Our comprehensive benefits package includes health, retirement, and paid time off.

Qualifications

• 4+ years of industry or post-doc research experience in Reinforcement Learning or Foundation Models.
• Demonstration of original contributions to the field through high-impact publications.
• Proficiency in implementing model training flows in a scalable and performant manner.

Responsibilities

• Research & Develop state-of-the-art Multimodal LLMs and World models for 3D Perception.
• Integrate emerging research into Waymo's Sensor understanding models.
• Design and implement evaluation frameworks for perception models.

Skills

Reinforcement Learning

Multimodal LLMs

Robotics

Distributed Systems

Education

PhD or Masters in Computer Science, Machine Learning, Robotics

Job description

Waymo, based in San Francisco, is seeking a highly qualified individual for a research role focused on developing advanced Multimodal LLMs and perception models. The position demands a PhD or Masters in a relevant field and offers a hybrid work schedule.

Successful candidates will work with state-of-the-art technologies in a rapidly evolving environment, contributing to making autonomous driving safe and accessible. Our comprehensive benefits package includes health, retirement, and paid time off.