Research Scientist, Robot Foundation Models

What you'll do

• Lead research on robot foundation-model architectures, data, and learning approaches; implement and evaluate models and methods.
• Curate large-scale video datasets and build scalable distributed training pipelines and infrastructure.
• Guide robot policy, data, and model decisions; collaborate across research, engineering, and robotics teams and communicate findings.

What they ask for

• Deep machine-learning experience focused on one or more of vision-language models, video models, robot policies, or foundation models for robotics or embodied AI.
• Experience with scalable training, such as multi-node training, large datasets, and/or large-model training.
• Strong research record, including publications in top-tier venues such as ICRA, CoRL, CVPR, NeurIPS, ICML, or ICLR.
• Strong coding skills and modern machine-learning-framework experience; ability to drive research independently and translate ideas into working systems, experiments, or deployed capabilities.

Pay

USD 370,040 – 512,710 total pay

Tools

PyTorch, ICRA, CoRL, CVPR, NeurIPS, ICML, ICLR

AI focus

Develop foundation models and robot policies that perceive, reason, move, and manipulate across diverse robot embodiments; work includes vision-language-action, world and action, multimodal, and video models, reinforcement learning, imitation learning, and behavioral cloning.