Research Scientist, Robot Foundation Model

📋 Description

• Research model architectures for robot foundation models.
• Design and evaluate VLAs, WAMs, omni-modal models for robotics.
• Explore RL, behavioural cloning for robot policy development.
• Curate large-scale video datasets for training/evaluation.
• Build scalable distributed training pipelines for large models/data.
• Collaborate with scientists, engineers, robotics teams; demo results.

🎯 Requirements

• Experience in ML with vision-language or robot policies.
• Experience with scalable multi-node training.
• Strong research record with top venues (ICML, NeurIPS, etc.).
• Strong coding skills with modern ML frameworks.
• Ability to design rigorous experiments with engineering teams.
• Experience turning research into working systems.

🎁 Benefits

• Hybrid working policy combining in-office and remote work.
• Ownership of research projects and direction.
• Opportunities to publish and contribute to scientific presence.
• Collaborate with robotics teams and hardware partners.
• Flexible schedule to suit team needs.