Robotics AI Research Scientist - Foundation Models

Socket.dev; Sunnyvale (CA); Hybrid; USD 370,000 - 419,000; Full time

Job summary

Wayve is seeking a Research Scientist to join the MEGA team to advance foundation-model learning for robotics and embodied intelligence. You will contribute to novel architectures, pre-training objectives, and scalable data/training systems, bridging frontier ML with real-world robot evaluation.

You will collaborate with researchers, ML engineers, roboticists, and hardware teams to push robust robot policies and publish impactful results.

Qualifications

• Experience in machine learning with focus on multimodal foundation models.
• Experience with scalable training on large datasets or multi-node setups.
• Strong research track record with publications in top venues.
• Engineering skills and hands-on experience with ML frameworks.
• Ability to design and run rigorous experiments with engineering teams.
• Experience translating research ideas into working systems.
• Strong communication across teams.

Responsibilities

• Research and develop model architectures and data strategies for robot foundation models.
• Develop scalable self-supervised and generative pre-training methods from video data.
• Build distributed training pipelines for large models and data.
• Collaborate with researchers, ML engineers, roboticists and hardware teams.
• Communicate results internally and through publications.

Skills

Multimodal foundation models

Scalable training

ML frameworks

Experiment design

Communication skills

Education

PhD or MS in CS/ML/Robotics

Tools

Python

PyTorch

TensorFlow

Job description

Wayve is seeking a Research Scientist to join the MEGA team to advance foundation-model learning for robotics and embodied intelligence. You will contribute to novel architectures, pre-training objectives, and scalable data/training systems, bridging frontier ML with real-world robot evaluation.

You will collaborate with researchers, ML engineers, roboticists, and hardware teams to push robust robot policies and publish impactful results.