Machine Learning Scientist/Engineer

📋 Description

• Design and run experiments on model architectures, learning objectives and data strategies for
• Build scalable pre-training and post-training methods using web video, egocentric video and
• Curate, filter, mix and evaluate large robotics datasets, including egocentric, UMI and
• 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
• Communicate findings through rigorous internal reviews, publications and robot demonstrations.

🎯 Requirements

• Experience in machine learning, with a focus on multimodal foundation models and data for
• Experience with scalable training, such as multi-node training, large datasets and/or large model
• Strong research track record, including publications in top-tier venues such as ICRA, CoRL, CVPR
• Strong engineering skills and hands-on experience with modern machine learning frameworks.
• Ability to design and run rigorous experiments while collaborating closely with engineering and
• Experience translating research ideas into working systems, experiments or deployed capabilities.

🎁 Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave