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.

Staff Reinforcement Learning Engineer to develop, train, deploy, and evaluate advanced reinforcement learning algorithms for whole body control of humanoid robots, focusing on sim-to-real transfer and robustness.

Figure AI is seeking an AI Engineer for Agentic Systems to build multimodal reasoning systems for autonomous humanoid robots. The role involves designing, training, and deploying agents that operate from raw sensory input, maintain memory, plan long-term, and execute tasks reliably in real environments. Responsibilities include developing agent architectures, infrastructure, perception-reasoning-action loops, evaluation harnesses, and applying reinforcement learning techniques. The position requires strong Python, deep learning framework proficiency, and software engineering skills.

Figure AI is seeking an AI Training Infrastructure Engineer to own and scale the training and deployment backbone for their RL-based whole-body control systems for humanoid robots. This role involves building and optimizing infrastructure for simulation, data pipelines, orchestration, and visualization, with a focus on accelerating iteration cycles and enabling the deployment of new capabilities to their robot fleet. The position requires strong software engineering skills in Python and PyTorch, experience with robotics/ML training infrastructure, familiarity with physics simulators, and knowledge of reinforcement learning.

AI Engineer focused on developing core model architectures and learning approaches for humanoid robot autonomy, spanning perception, reasoning, and action across multimodal inputs. The role involves designing, training, and deploying models, with a focus on advancing multimodal learning and generalization for embodied AI systems.

Figure AI is seeking a Helix AI Engineer specializing in Reinforcement Learning to develop learning systems for humanoid robots. This role involves designing, implementing, and training RL algorithms for embodied agents in both simulated and real-world environments, focusing on improving policy performance, robustness, and long-horizon decision-making. The engineer will work on reward modeling, credit assignment, exploration, and integrating RL into the full autonomy stack, while also building scalable training systems and evaluation frameworks.

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.

Figure AI is seeking a Helix AI Engineer, Generative AI to build and scale generative models for humanoid robots. This role involves training and deploying diffusion and generative models for vision, video, and multimodal data, with applications in perception, synthetic data generation, and model-based reasoning. The engineer will optimize training pipelines, integrate models into the autonomy stack, and evaluate their quality.

Figure AI is seeking a Helix AI Engineer specializing in Robot Learning to develop and deploy visuomotor manipulation policies for their humanoid robots. The role involves designing, training, and evaluating learning-based policies using techniques like behavior cloning and reinforcement learning, with a strong emphasis on real-world robot deployment and data collection.

AI Engineer focused on post-training of large AI models for humanoid robotics, involving fine-tuning, optimization, evaluation, and safety, with a secondary focus on integrating these models into agentic systems for real-world applications.

Senior Reinforcement Learning Engineer at Figure AI, focused on developing and deploying RL algorithms for humanoid robot locomotion and manipulation, and building large-scale training infrastructure. The role involves production code in PyTorch, familiarity with RL algorithms (PPO, SAC), hyperparameter tuning, and ML evaluation tools. Experience transferring simulation to hardware is a bonus.

Figure AI is seeking a Data Quality Manager to own end-to-end data quality for their humanoid robots' training data. This role involves setting standards, building tooling, and leading a team to produce high-quality training data for AI systems like Helix. The focus is on defining new methodologies for multimodal, embodied, sensor-rich data in robotics.

Figure AI is seeking an experienced Training Infrastructure Engineer to manage and enhance their training clusters, implement distributed training algorithms, and build tools for AI researchers working on humanoid robots. The role involves architecting scalable deep learning frameworks for massive robot datasets and optimizing model development cycles.

Figure AI is seeking a Humanoid Robot Pilot to guide their learning humanoid robots through designated behaviors, collect data for AI training, and refine robot behaviors. This role involves teleoperation, identifying issues, and reporting feedback to the AI team. It requires physical coordination, focus, and the ability to learn new tasks quickly. Experience with robots or mechanical systems is a plus.

Figure AI is seeking a Perception / Computer Vision Software Engineer for their Helix Team to develop and deploy novel computer vision models and algorithms for humanoid robots. The role involves the full development lifecycle, including data preparation, training deep neural networks, building data and evaluation pipelines, and shipping production-level software for real-world deployment.

Figure AI is seeking a Deployment Engineer to support the development and deployment of their humanoid robots at customer sites. The role involves creating and executing testing plans, analyzing data, debugging, and communicating feedback to engineering. Requires experience in robotics integration, deployment, and development, with a focus on transitioning products from design to commercialization.

Figure AI is seeking a Product Architect to own the design of custom data collection devices that are critical for training their AI models. This role requires deep technical expertise in consumer electronics design, prototyping, and systems-level thinking, with a strong emphasis on collaboration with AI developers to advance state-of-the-art robotics.

Figure AI is seeking a Systems Architect to lead the on-board safety solutions for their general-purpose humanoid robot, which operates in industrial and home environments. This hands-on role is critical for shipping the product at scale and involves defining and driving the safety architecture from design to implementation, including validation and failure analysis. The role requires extensive experience in robotics/autonomous systems, fault tolerance, and embedded systems.

Figure AI is seeking a Software Integration Engineer to join their Systems Integration Team, acting as a bridge between AI, Controls, Firmware, and Hardware for their humanoid robots. This role focuses on ensuring the cohesive functioning of all components, owning core software features from concept to delivery, and blending software development with system-level problem-solving to ensure a stable and reliable robot platform ready for AI development and evaluation. The ideal candidate is a hands-on engineer who thrives in ambiguity, learns quickly, and takes ownership of problems end-to-end, operating with a first-principles mindset to improve system reliability, scalability, and performance.

Figure AI is seeking an intern to work on the real-time speech pipeline for their humanoid robots, focusing on low-latency audio streaming, speech enhancement, and real-time speech understanding. The role involves supporting the development and testing of audio systems, integrating real-time communication frameworks, and assisting with AI-based speech components.

Figure AI is seeking a Pilot Manager to lead their Pilot team, responsible for daily data collection operations to train their AI system, Helix. This role involves building and managing the team, overseeing frontline operations, ensuring data collection performance, and collaborating with engineering to troubleshoot and improve processes. The ideal candidate has 5+ years of leadership experience in fast-paced environments, experience with early-stage technologies, and strong problem-solving and communication skills. Experience with robotics or AI data collection is a bonus.

Figure AI is seeking Helix Data Creators to support their humanoid robot development. This role involves wearing sensors to collect motion data for training AI models, with potential for growth into longer-term robotics roles. The position requires physical coordination, focus, and the ability to learn new tasks quickly.

Operate and troubleshoot humanoid robots for commercial use cases, collect data for AI training, and relay issues to engineering teams. This role is hands-on with robot operations and data collection for AI refinement.

Figure AI is seeking a Humanoid Robot Pilot to operate and teach their humanoid robots new behaviors. This role involves using teleoperation equipment, collecting data for AI training, and providing feedback to the AI team to refine robot behaviors. The pilot will also maintain equipment and ensure a safe operating environment.

Figure AI is seeking a Deployment Engineer for their humanoid robot product, focusing on logistics use cases. This customer-facing role involves deploying, commissioning, testing, and troubleshooting robots at customer sites, ensuring performance and reliability, and communicating feedback to engineering. Requires experience in robotics integration and deployment, with a willingness to travel frequently.

Figure AI is seeking a Humanoid Robot Operations Associate to deploy and operate their humanoid robots in automotive manufacturing settings. This role involves monitoring robot performance, identifying and documenting issues, and relaying feedback to engineering teams. The associate will also collect data for AI training and assist in refining robot behaviors, potentially using teleoperation for training purposes. The position requires a HS Diploma, fluency in English, physical ability to work in a manufacturing environment, and a willingness to embrace feedback and work with minimal supervision.

Figure AI is seeking a Robotics Integration Engineer to drive system-level integration and validation across hardware, firmware, controls, AI, perception, and software for their general-purpose humanoid robot. The role involves planning and executing subsystem integration, full-system bring-up, debugging, root cause analysis, and validating system functionality to ensure reliable performance in real-world applications. Responsibilities include developing test tools, designing validation plans, debugging cross-disciplinary issues, and contributing to automation of regression testing.

Figure AI is seeking an experienced Data Infrastructure Engineer to build and manage the AI data infrastructure for their humanoid robot company. This role involves designing, building, and maintaining tools for robot data offloading, storage, manipulation, and access, managing on-premise and cloud resources, and supporting data pipelines from recording to neural network training. The ideal candidate has experience with large-scale autonomous/deep learning systems.