Robotics Foundation Model Scientist

Wayve; Sunnyvale (CA); Hybrid; USD 370,000 - 419,000; Full time

Job summary

Wayve, based in Sunnyvale, CA, is seeking a Research Scientist to join the MEGA team as a founding member. The role focuses on building foundation models for general-purpose robots beyond self-driving systems.

You will work across the robot-learning stack: develop model architectures, data pipelines, and evaluations, and deploy policies on physical robots. The role offers collaboration with researchers, ML engineers and hardware teams, plus room for growth and innovation.

Qualifications

• Experience in machine learning with focus on vision-language models, video models, or embodied AI.

Responsibilities

• Research model architectures and learning approaches for robot foundation models.
• Design and evaluate VLAs, WAMs, omni-modal and video models for robotics.
• Develop learning methods including reinforcement learning and behavioural cloning.
• Curate large-scale video datasets for training and evaluation.
• Build scalable distributed training pipelines for large models.
• Collaborate with scientists, engineers and robotics teams to test on real robots.
• Communicate research findings and contribute to publications.

Skills

Vision-language models

Video models

Robot policies

Foundation models for robotics

Embodied AI

Scalable training

Coding skills

Experiment design

Communication skills

Publications in top-tier venues

Education

PhD or MS in Computer Science, Machine Learning, Robotics, Computer Vision or related field

Job description

Wayve, based in Sunnyvale, CA, is seeking a Research Scientist to join the MEGA team as a founding member. The role focuses on building foundation models for general-purpose robots beyond self-driving systems.

You will work across the robot-learning stack: develop model architectures, data pipelines, and evaluations, and deploy policies on physical robots. The role offers collaboration with researchers, ML engineers and hardware teams, plus room for growth and innovation.