About the role
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. Our Helix team is responsible for developing the core AI systems that power humanoid autonomy. We are looking for a Helix AI Engineer, Video Pretraining to lead the development of large-scale video foundation models trained on diverse real-world and robot-collected data. This role focuses on pretraining models that learn from raw video—capturing motion, interaction, and temporal structure—to enable downstream capabilities in perception, prediction, and embodied reasoning. Responsibilities: Design and train large-scale video foundation models on diverse datasets spanning internet-scale video and robot-collected data. Develop pretraining strategies that capture temporal dynamics, motion, and object interaction from raw video sequences. Build models that learn transferable representations for downstream tasks such as perception, tracking, prediction, and control. Explore architectures for video understanding and generation, including transformer-based and diffusion-based approaches. Implement efficient data pipelines and training strategies for high-throughput video ingestion and large-scale distributed training. Optimize model performance across compute, memory, and training effic…