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Research Scientist - Multi-Embodiment Generalist Agent (MEGA)

wayve • United States
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AI Summary

Founding member of the MEGA team within Wayve Science building foundation models for general-purpose robots. Design and run experiments on model architectures, learning objectives, and data strategies for robot foundation models. Requires strong research track record with top-tier publications and hands-on ML engineering experience.

Key Highlights
Founding member of MEGA team building foundation models for general-purpose robots
Research and develop model architectures, learning objectives, and data strategies
Build scalable pre/post-training methods using multimodal and robotics data
Strong research track record with publications in top-tier venues required
Hands-on engineering experience with modern ML frameworks essential

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Key Responsibilities
Design and run experiments on model architectures, learning objectives and data strategies for robot foundation models
Build scalable pre-training and post-training methods using web video, egocentric video and robot-interaction data
Curate, filter, mix and evaluate large robotics datasets
Develop and use distributed training pipelines for large multimodal models and datasets
Partner with ML engineers, roboticists and hardware teams to turn research progress into measurable real-world robot performance
Communicate findings through rigorous internal reviews, publications and robot demonstrations
Technical Skills Required
Machine Learning Multimodal Foundation Models Distributed Training

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Benefits & Perks
Relocation support and visa sponsorship where applicable
Hybrid working with core hours
Learning and development budgets for training, conferences and growth
Comprehensive benefits including health insurance, dental, enhanced maternity/paternity leave, retirement/pension
Access to therapists and wellbeing partnerships

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Nice to Have
Publications in top-tier venues such as ICRA, CoRL, CVPR, NeurIPS, ICML or ICLR
Experience translating research ideas into working systems or deployed capabilities
Strong communication skills to share research clearly across teams

Job Description

We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Every role here plugs into that mission.

About Our Science Teams

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Job Overview
Posted Nov 09, 2026
Employment Full-time
Experience Mid-Senior level
Location United States
Category Machine Learning
Company wayve
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