Job Description
📋 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.
