Helix AI Engineer, Generative AI

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Description

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is to build embodied AI systems that can perceive, reason, and act in the real world. Figure is headquartered in San Jose, CA, and this role requires 5 days/week in-office collaboration. Our Helix team is responsible for developing the core AI systems that power humanoid autonomy. We are looking for a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand, simulate, and interact with the physical world. This role focuses on training and deploying diffusion and generative models across vision, video, and multimodal domains, with applications spanning perception, data generation, and model-based reasoning. Responsibilities Design, train, and deploy large-scale generative models, with a focus on diffusion-based approaches for vision, video, and multimodal data Develop models that improve robot perception, world modeling, and prediction from raw sensory inputs Build generative systems for synthetic data creation, augmentation, and dataset scaling for robot learning Explore and implement state-of-the-art techniques in diffusion, generative modeling, and multimodal foundation models Optimize training pipelines for large-scale generative models across distributed systems Work closely with data, training infrastructure, and agent teams to integrate generative models into the full autonomy stack Evaluate model quality, robustness, and generalization across real-world scenarios Contribute to the design of scalable experimentation frameworks for generative model development Requirements </h2&

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