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Figure Ai Jobs (NOW HIRING)

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 is an AI Robotics company developing a general purpose humanoid. They are seeking Perception Engineers for their Helix team to empower humanoid robots in performing dynamic operations in real ...

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 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 ...

Helix AI Engineer, Perception

San Jose, CA · Hybrid

$200K - $350K/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 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 ...

Helix AI Engineer, Perception

San Jose, CA · On-site

$200K - $350K/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 ...

Helix AI Engineer, Robot Learning 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 ...

Helix AI Engineer, Android

San Jose, CA · On-site

$150K - $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 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 ...

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Figure Ai information

See salary details

$24K

$128.5K

$304.5K

How much do figure ai jobs pay per year?

As of Jun 14, 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 a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages.

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.

Which 3 jobs will survive AI?

Figure Ai is a role that involves analyzing and interpreting data, which is less susceptible to automation due to the need for critical thinking and creativity. Jobs in healthcare, such as doctors and nurses, require complex decision-making and human interaction that AI cannot fully replicate. Additionally, skilled trades like electricians and plumbers are likely to persist because they involve hands-on work and problem-solving beyond AI capabilities.

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.

How much does Figure AI pay?

Salaries for Figure AI roles vary depending on the position, experience, and location. Entry-level positions typically start around $70,000 annually, while more experienced roles can pay over $150,000. Compensation may also include benefits such as stock options and performance bonuses.

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 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.

Is Figure AI a legit company?

Figure AI is a technology company specializing in AI-driven 3D modeling and digital asset creation. It is a legitimate business operating within the AI and creative technology sectors, and job roles may require skills in AI tools, 3D modeling, or software development. As with any company, candidates should verify current employment details and reviews before applying.
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 June 2026, with employment types broken down into 92% Full Time, 4% 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, Pretraining

Helix AI Engineer, Pretraining

Figure

San Jose, CA

Other

Posted 6 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, Pretraining to build large-scale foundation models that learn from diverse data sources including text, images, video, and robot-collected experience.

This role focuses on advancing pretraining methods that enable generalization, reasoning, and adaptability-forming the backbone for downstream capabilities in perception, planning, and action.

Responsibilities
  • Design and train large-scale foundation models across multimodal data (e.g., text, vision, and robot data)
  • Develop pretraining strategies that improve generalization, reasoning, and transfer to downstream embodied tasks
  • Explore and implement architectures including transformer-based and emerging foundation model paradigms
  • Work on scaling laws, dataset mixture design, and training dynamics for frontier models
  • Build and optimize large-scale distributed training pipelines across multi-node GPU clusters
  • Collaborate closely with video, generative, agent, and robot learning teams to integrate pretrained models into the autonomy stack
  • Design evaluation frameworks to measure reasoning ability, robustness, and cross-domain generalization
  • Contribute to post-training approaches including fine-tuning, alignment, and model adaptation
Requirements
  • Experience training large-scale foundation models or working on pretraining for LLMs or multimodal systems
  • Strong understanding of modern deep learning architectures, especially transformers
  • Experience with large-scale distributed training and optimization
  • Proficiency in Python and deep learning frameworks such as PyTorch
  • Strong experimental rigor and ability to iterate on model design and training strategies
  • 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 working on frontier foundation models at companies such as Anthropic, OpenAI, Google DeepMind, or xAI
  • Experience with multimodal pretraining (vision-language or vision-language-action models)
  • Background in scaling laws, dataset curation, and large-scale data mixture optimization
  • Experience with post-training techniques such as RLHF, reward modeling, or alignment methods
  • Familiarity with embodied AI, robotics, or real-world deployment constraints
  • Publication record in machine learning, NLP, or multimodal AI

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.Â