Staff Applied Scientist, Wayve

• Deep expertise (Ph.D.) in machine learning, including language modeling, multimodal learning, or video-language models, with a strong understanding of transformer (and other) architectures
• A track record of impactful research, demonstrated by publications in top-tier venues (e.g. NeurIPS, ICML, ICLR, ACL, CoRL, CVPR, ACL, NAACL, RSS)
• Experience working with large-scale models and datasets, ideally in the context of embodied agents or complex sequential data
• Ability to drive and execute novel research directions independently, while collaborating closely with engineering and systems teams
• Strong coding skills and familiarity with modern ML frameworks (e.g. PyTorch, JAX)

Desirable

• This is a core research role focused on advancing language and reasoning in embodied systems using state-of-the-art foundation models
• The candidate will have the opportunity to build on Wayve’s extensive video-learning infrastructure and contribute to a high-impact program aimed at unlocking generalization, planning, and understanding in real-world embodied systems
• This work will shape both our scientific direction and future product capabilities, with potential applications beyond driving into manipulation and generalist robotics
• Design and lead research on language and reasoning for embodied foundation models
• Develop and evaluate video-language architectures for real-world agents
• Collaborate with scientists and engineers working on video perception to integrate insights across modalities
• Publish and communicate results internally and externally to shape the field and attract talent
• Help define long-term research directions and influence the technical roadmap of embodied AI at Wayve