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About the Role

Waymo is seeking a Research Scientist to join the AI Foundations team, focusing on developing machine learning solutions for autonomous driving. This role involves researching and developing state-of-the-art Multimodal LLMs and World models to perform 3D Perception using sensor data, integrating new research, and designing evaluation frameworks.

Responsibilities

• Research & Develop state-of-the-art Multimodal LLMs and World models to perform 3D Perception using sensor information from Camera, LiDAR and Radar.
• Integrate emerging research from the broader AI community into Waymo’s Encoders and Sensor understanding models.
• Develop and maintain scalable data pipelines for Training & Eval to process data from multiple sources.
• Design and implement evaluation frameworks for perception models.
• Study and analyze different behaviors of this model, such as scaling efficacy, downstream quality implications, model architecture design ablations, etc.
• Design and implement Perception Modeling solutions to understand LiDAR/Camera/Radar information from autonomous vehicle sensors.
• Conduct cutting-edge research and potentially communicate research findings to the wider academic community via technical reports and/or publications.

Requirements

• PhD or Masters in Computer Science, Machine Learning, Robotics, or a similar technical field, with 2+ 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 (ArXiv, peer-reviewed conferences like NeurIPS/ICLR/CVPR), technical blog posts, or significant open-source contributions.
• Proficiency in implementing model training flows in a scalable, distributed and performant manner such as Data parallel, FSDP and other sharding approaches.
• A willingness to work with complexity of globally distributed inference infrastructure.

Skills

• Reinforcement Learning
• Foundation Models
• Multimodal LLMs
• World models
• 3D Perception
• LiDAR
• Camera
• Radar
• Data parallel
• FSDP
• Sharding approaches
• Generative models
• Diffusion models
• Autoregressive models

Location

• US

Work Type

• Hybrid

Experience Level

• 2+ years of industry or post-doc research experience

Education Level

• PhD or Masters in Computer Science, Machine Learning, Robotics, or a similar technical field
• PhD in Computer Science, Machine Learning, or Robotics

Salary/Compensations

• $213,000—$263,000 USD

Benefits

• Health, dental, vision, life, disability insurance
• 401(k) with company match
• 20 days of vacation per year
• 40 hours/year sick time
• 5 days/event sick time
• 28-30 weeks maternity leave
• 18 weeks baby bonding leave
• 13 paid holidays per year
• Discretionary annual bonus program
• Equity incentive plan

About the Company

• 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 mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions.
• As part of our work, we also initiate and foster collaborations with other research teams in Alphabet.
• AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.

Equal Opportunity

• In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees.