Senior ML Scientist – Robotic Foundation Models

OpenDigital Limited; Sunnyvale, Northern (CA, KY); Hybrid; USD 370,000 - 419,000; Full time

Benefits offered by this job

Equity package

Hybrid work model

Job summary

Wayve is seeking a Research Scientist to join the MEGA team in Sunnyvale, CA, as a founding member. You will build foundation-model learning stacks for robotics, spanning architectures, objectives, and scalable data and training systems.

The role blends frontier ML research with real-world evaluation on a growing fleet of robots. You will work on vision-language-action models, world and action models, and imitation/reinforcement/self-supervised learning, using large-scale video and robotics data

Qualifications

• Experience in multimodal foundation models and data for foundation models.

Responsibilities

• Research and develop model architectures, learning objectives, and data strategies for robot foundation models.
• Empirical research experience – experience hill climbing on ML models.
• Develop scalable self-supervised and generative pre-training methods using web video, egocentric video, and robot-interaction data.
• Develop post-training approaches—including supervised fine-tuning, imitation learning, reinforcement learning, and related methods to improve real-world robot capabilities.
• Curate, filter, and evaluate large-scale robotics datasets, including egocentric, UMI, and teleoperated data.
• Build and use distributed training pipelines for large models and large multimodal datasets.
• Collaborate with robotics and hardware teams to connect model progress to measurable real-world performance.
• Communicate research clearly internally and, where appropriate, through publications and Wayve’s scientific presence.

Skills

Multimodal ML

Scalable training

Publications track record

ML frameworks

Experiment design

Applied research

Communication

Education

PhD or MS in CS/ML/Robotics/Computer Vision

Tools

Python

PyTorch

ROS

TensorFlow

Job description

Wayve is seeking a Research Scientist to join the MEGA team in Sunnyvale, CA, as a founding member. You will build foundation-model learning stacks for robotics, spanning architectures, objectives, and scalable data and training systems.

The role blends frontier ML research with real-world evaluation on a growing fleet of robots. You will work on vision-language-action models, world and action models, and imitation/reinforcement/self-supervised learning, using large-scale video and robotics data