Wayve
Machine Learning Scientist/Engineer
$311K–$420K
Sunnyvale, California USA · Hybrid · Full-time · Posted Oct 2, 2026
- Visa sponsorship
- Visa sponsorship where applicable
About the job
Develop foundation-model learning methods and scalable training systems for general-purpose robots, taking research through real-world robot evaluation.
What you'll do
- Design and run experiments on robot-model architectures, learning objectives, and data strategies.
- Develop pre-training and post-training methods and distributed pipelines for large multimodal models.
- Curate and evaluate robotics datasets, and collaborate with robotics and hardware teams to measure real-world performance.
What they ask for
- Experience in machine learning focused on multimodal foundation models and foundation-model data.
- Experience with scalable training, such as multi-node training, large datasets, and/or large-model training.
- Strong research track record, including publications in top-tier venues such as ICRA, CoRL, CVPR, NeurIPS, ICML, or ICLR.
- Strong engineering skills with modern machine learning frameworks, and ability to design rigorous experiments and translate research into working systems or capabilities.
Pay
USD 311,450 – 419,760 base salary
Tools
PyTorch, ICRA, CoRL, CVPR, NeurIPS, ICML, ICLR
AI focus
Research and build multimodal foundation models and robot policies using video and robot-interaction data, including self-supervised and generative pre-training, supervised fine-tuning, imitation learning, and reinforcement learning.
Model-written summary · the original posting is authoritative