Figure AI

Figure AI is seeking a Helix AI Engineer, Pretraining to build large-scale foundation models for their humanoid robots. This role focuses on advancing pretraining methods across multimodal data (text, vision, robot experience) to enable generalization, reasoning, and adaptability for embodied AI systems. Responsibilities include designing and training models, developing pretraining strategies, exploring architectures, optimizing distributed training pipelines, and collaborating with other AI teams. Requirements include experience training large-scale foundation models, understanding of modern deep learning architectures, and proficiency in Python/PyTorch.

Figure AI is seeking a Helix AI Engineer focused on Video Pretraining to lead the development of large-scale video foundation models. This role involves designing and training models on diverse datasets, developing pretraining strategies for temporal dynamics, and building models that learn transferable representations for downstream tasks in perception, prediction, and embodied reasoning. The engineer will optimize performance, implement efficient data pipelines, and collaborate with other AI teams, while also designing evaluation frameworks.