Figure's Posts (245)

2025-07-19

Data Lead

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA. It’s time to build. We are looking for a Data Lead to help us in our efforts to annotate and label our data for AI training applications. Responsibilities: Requirements: The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. - Use proprietary annotation tools to label objects, poses, and interactions in images and video streams from our humanoid robots - Collaborate with ML engineers to refine labeling guidelines and improve interface efficiency - Identify and flag ambiguous or edge-case scenarios for review by the ML team - Maintain high throughput and consistent quality across large annotation batches - Contribute feedback on workflow improvements and tool enhancements - Strong attention to detail and the ability to apply consistent logic across diverse scenarios - Comfortable navigating computer-based tools and quickly learning new software - Patient, quality-focused mindset with the ability to juggle multiple assignments - Clear written and verbal communication skills - Reliable, self-motivated work style and a collaborative spirit within a fast-paced environment - Fluency in English required

Location: San Jose, CA

Salary range: None - None

2025-07-19

Humanoid Robot Pilot (day shift) - Helix Team

Figure is an AI Robotics company developing a general purpose humanoid. Our Humanoid is designed for industrial tasks, targeting labor shortages and jobs that are undesirable or unsafe for humans. We are based in San Jose, CA and require 5 days/week in-office collaboration. As a Humanoid Robot Pilot, you'll have the unique opportunity to work directly with our learning humanoid robots and teach them new behaviors and skills. You will be at the forefront of our operations, collecting new data to train our AI systems and working with the AI team to refine behaviors over time. Shift: 8:00am-5:00pm Responsibilities: Requirements: Bonus Qualifications: The US base salary range for this full-time position is between $35-$50/hr . The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. - Wear teleoperation equipment and guide the robot through designated behaviors - Upload collected data to our AI training system - Proactively identify issues during collection and report feedback daily to Figure's AI team - Maintain a safe environment for both yourself and the robot during teleoperation - Follow proper equipment and robot maintenance procedures, including bring-up and shutdown - Excellent physical coordination, spatial awareness, and focus - Can stand 8+ hours a day - Master new physical tasks quickly and find the optimal way to perform them - Embrace constructive feedback and strive for constant improvement - Thrive in a fast paced environment - Experience working with robots or troubleshooting mechanical systems - A passion for helping scale the deployment of learning humanoid robots

Location: San Jose, CA

Salary range: None - None

2025-07-19

AI Engineer, Post-Training - Helix Team

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for anAI Engineer, Post-Trainingto work on enhancing and deploying state-of-the-art AI models. You will focus on improving large pre-trained models for practical applications, ensuring that they are reliable, efficient, and scalable. You will collaborate closely with research and product teams to develop new techniques for optimizing AI systems, and help integrate advanced AI capabilities into products and services. Responsibilities: Requirements: Bonus Qualifications: The US base salary range for this full-time position is between $175,000 - $350,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. - Lead the post-training research to improve performance, safety, and generalization of large-scale AI models. - Work with cross-functional teams to deploy AI solutions in real-world applications, focusing on improving the user experience and model performance. - Develop and implement novel approaches to model fine-tuning, optimization, and evaluation. - Design and conduct experiments to better understand model behavior and to identify and mitigate risks related to fairness, safety, and reliability. - Collaborate with other researchers, engineers, and product teams to align model development with company goals. - Contribute to cutting-edge research and bring new insights to the team to solve complex problems in AI deployment. - Strong background in machine learning, deep learning, and natural language processing (NLP). - Proven experience in model development, tuning, and evaluation with large-scale neural networks. - Familiarity with AI safety and robustness challenges in real-world environments. - Proficiency in programming languages such as Python, with experience in machine learning frameworks like TensorFlow, PyTorch, or similar. - Experience working with large codebases and distributed computing environments. - Ability to conduct independent research and collaborate effectively in a team-oriented environment. - A Masters or PhD or equivalent experience in a relevant field (e.g., Computer Science, Machine Learning, AI, or related disciplines). - Prior experience working with robotic learning systems

Location: San Jose, CA

Salary range: None - None

2025-07-19

AI Training Infrastructure Engineer - Helix Team

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build.Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for an experienced Training Infrastructure Engineer, to take our infrastructure to the next level. This role is focused on managing the training cluster, implementing distributed training algorithms, data loaders, and developer tools for AI researchers. The ideal candidate has experience building tools and infrastructure for a large-scale deep learning system.Responsibilities Requirements Bonus Qualifications The US base salary range for this full-time position is between $150,000 - $350,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. - Design, deploy, and maintain Figure's training clusters - Architect and maintain scalable deep learning frameworks for training on massive robot datasets - Work together with AI researchers to implement training of new model architectures at a large scale - Implement distributed training and parallelization strategies to reduce model development cycles - Implement tooling for data processing, model experimentation, and continuous integration - Strong software engineering fundamentals - Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field - Experience with Python and PyTorch - Experience managing HPC clusters for deep neural network training - Minimum of 4 years of professional, full-time experience building reliable backend systems - Experience managing cloud infrastructure (AWS, Azure, GCP) - Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.) - Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.)

Location: San Jose, CA

Salary range: None - None

2025-07-19

Perception / Computer Vision Software Engineer - Helix Team

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for Perception Engineers to empower Figure humanoid robots to perform highly dynamic operations in demanding real-world environments. Responsibilities: Requirements: Bonus Qualifications: The US base salary range for this full-time position is between $220,000 - $350,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. - Develop novel computer vision formulations, models, and algorithms for a wide variety of tasks.Own the full development life cycle from data preparation to model deployment. - Perform training of multi-task deep neural networks. - Design and build data and evaluation pipelines. - Engineer and ship high quality, reliable software that will be deployed to the real world. - Collaborate with other Figure team members to develop and continuously improve the full autonomy stack. - Extensive experience in production-level software & ML engineering and best practices. - “White-box” understanding of deep learning: model details, loss formulations, and training algorithms. - Strong mathematical fundamentals in probability, optimization, and linear algebra. - Domain expertise in at least one of the following areas: 3D reconstruction, depth estimation, neural rendering, object detection, tracking & state estimation, instance and semantic segmentation. - Comfortable with fundamental geometric concepts in computer vision, such as perspective transformation, pinhole camera model, and epipolar geometry. - Extensive experience with one of the major deep learning frameworks, preferably PyTorch. - Capable of quickly writing massive amounts of high quality, well-tested, perception software. - Thrive in a high pace environment, where solutions are often unclear and require exploration. - Passionate about building humanoid robots. - Experience with CUDA and GPU programming. - Experience with scalable data engineering toolchains such as Spark,Ray, SQL. - Experience in neural network deployment toolchain and techniques, such as TensorRT and model quantization. - Publication record of developing and deploying perception solutions.

Location: San Jose, CA

Salary range: None - None

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