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Figure Ai Jobs (NOW HIRING)

Figure

Helix AI Engineer, Video Pretraining

San Jose, CA · On-site

$200K - $400K/yr

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 ...

Figure

Helix AI Engineer, Robot Learning

San Jose, CA · On-site

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. They are seeking a Helix AI Engineer, Robot Learning to develop and improve visuomotor manipulation policies ...

Figure

Helix AI Engineer, Training Performance

San Jose, CA · On-site

$200K - $400K/yr

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 ...

Figure

Helix AI Engineer, XR

San Jose, CA · On-site

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 03, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days ...

Figure

Helix AI Engineer, Training Performance

San Jose, CA · On-site

$200K - $400K/yr

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 ...

Figure

Helix AI Engineer, XR

San Jose, CA · On-site

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 03, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days ...

Figure

Helix AI Engineer, Android

San Jose, CA · On-site

$200K - $400K/yr

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 03, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days ...

Figure

Helix AI Engineer, Android

San Jose, CA · On-site

$200K - $400K/yr

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 03, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days ...

Figure

Helix AI Engineer, Robot Learning

San Jose, CA · On-site

$200K - $400K/yr

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 ...

Figure

Helix AI Engineer, Robot Learning

San Jose, CA

$200K - $400K/yr

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 ...

Figure

Helix AI Engineer, Backend

San Jose, CA · On-site

$200K - $400K/yr

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 and require 5 days/week in-office ...

Figure

Helix AI Engineer, Backend

San Jose, CA

$200K - $400K/yr

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 and require 5 days/week in-office ...

Sweep360

Machine Learning Engineer

New York, NY · On-site

$240K/yr

If you would have joined early Tesla to make Autopilot work in the real world and improve across the fleet or Figure AI before humanoids left the lab-to build the firmware that made them trustworthy ...

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All JobsFigure Ai Jobs

Figure Ai information

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$24K

$128.5K

$304.5K

How much do figure ai jobs pay per year?

As of Sep 4, 2026, the average yearly pay for figure ai in the United States is $128,548.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $135,000.00 per year, depending on experience, location, and employer.

What is Figure AI?

Figure AI is a robotics and artificial intelligence company focused on developing general-purpose humanoid robots. Their goal is to create robots that can perform a wide range of tasks in various environments, such as factories, warehouses, and eventually households. The company's flagship product is the Figure 01 robot, designed to work safely alongside humans and adapt to different jobs using advanced AI and machine learning. Figure AI aims to address labor shortages and improve productivity by automating repetitive or dangerous tasks.

What are the key skills and qualifications needed to thrive as a Figure AI engineer, and why are they important?

To thrive as a Figure AI Engineer, you need a strong background in computer science, machine learning, and robotics, often supported by a relevant degree and experience with AI model development. Proficiency with programming languages like Python or C++, machine learning frameworks (e.g., TensorFlow, PyTorch), and robotics operating systems (e.g., ROS) is typically required. Creativity, problem-solving, and effective communication are standout soft skills for collaborating in multidisciplinary teams and driving innovation. These skills and qualities are crucial for developing advanced AI-driven robotic solutions that meet real-world challenges and business needs.

What are some common challenges faced by AI engineers working on humanoid robotics projects?

AI Engineers in humanoid robotics often encounter challenges such as integrating complex machine learning models into real-time control systems and ensuring seamless interaction between hardware and software. Balancing computational efficiency with the need for advanced perception and decision-making is a daily task. Additionally, close collaboration with robotics hardware teams and frequent testing in unpredictable real-world environments require strong troubleshooting skills and adaptability. This dynamic environment offers unique learning opportunities but demands resilience and effective cross-disciplinary communication.

What is the difference between Figure Ai vs Data Analyst?

AspectFigure AiData Analyst
Required CredentialsTypically a background in finance, data science, or related fields; may include certifications in data analysis or financeBachelor's degree in statistics, mathematics, economics, or related fields; certifications like CAP or Microsoft Excel certifications are common
Work EnvironmentTech-driven, collaborative teams focusing on financial modeling and automationOffice setting, analyzing data sets, creating reports, and providing insights
Employer & Industry UsageFinancial technology companies, investment firms, startupsCorporations, consulting firms, financial institutions, and data-driven industries

Figure Ai primarily focuses on automating financial modeling and leveraging AI for investment insights, while Data Analysts interpret data to inform business decisions. Both roles require analytical skills and familiarity with data tools, but Figure Ai emphasizes AI-driven financial solutions, whereas Data Analysts focus on data interpretation across various sectors.

What cities are hiring for Figure Ai jobs?

Cities with the most Figure Ai job openings:

Infographic showing various Figure Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $128,548 per year, or $61.8 per hour.

Helix AI Engineer, Reinforcement Learning

Figure

San Jose, CA • On-site

$200K - $400K/yr

Full-time

Re-posted 27 days ago

Job 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, Reinforcement Learning to develop learning systems that enable robots to acquire skills through interaction, feedback, and experience.

This role focuses on applying and advancing reinforcement learning across simulation and real-world environments-improving policy performance, robustness, and long-horizon decision-making in embodied systems.

Responsibilities
  • Design and implement reinforcement learning algorithms for embodied agents operating in real-world and simulated environments
  • Train policies that learn from interaction, feedback, and large-scale experience across diverse tasks
  • Develop reward modeling, credit assignment, and exploration strategies for complex, long-horizon behaviors
  • Improve policy robustness to real-world challenges such as noise, partial observability, and environment variability
  • Work across online and offline RL settings, including learning from large-scale logged robot data
  • Collaborate closely with pretraining, video, generative, agent, and robot learning teams to integrate RL into the full autonomy stack
  • Build scalable training systems for RL, including distributed rollouts, simulation infrastructure, and experiment management
  • Design evaluation frameworks to measure policy performance, stability, and generalization
Requirements
  • Experience developing and applying reinforcement learning algorithms in complex environments
  • Strong understanding of RL fundamentals (e.g., policy optimization, value methods, model-based RL)
  • Experience training policies in simulation and/or real-world systems
  • Proficiency in Python and deep learning frameworks such as PyTorch
  • Experience with large-scale experimentation and distributed training systems
  • Strong experimental rigor and ability to diagnose and improve learning systems
  • Solid software engineering skills and ability to build scalable, reliable systems
  • Ability to operate independently and drive ambiguous, high-impact technical problems
Bonus Qualifications
  • Experience applying RL to robotics, control systems, or embodied AI
  • Experience with large-scale RL infrastructure (distributed rollouts, simulation at scale)
  • Background in offline RL, imitation learning, or hybrid learning approaches
  • Experience with reward modeling or human-in-the-loop learning
  • Experience at leading AI labs such as OpenAI, Google DeepMind, Anthropic, or xAI
  • Familiarity with robotics systems, simulation environments, or real-world deployment constraints
  • Publication record in reinforcement learning, machine learning, or robotics

The US base salary range for this full-time position is between $200,000 - $400,000

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. 

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