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60 Figure Machine Learning Engineer Jobs Hiring Near You

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Helix AI Engineer, Generative AI

San Jose, CA · On-site

$200K - $400K/yr

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is ... Publication record in machine learning, computer vision, or generative modeling The US base salary ...

Figure

Helix AI Engineer, Generative AI

San Jose, CA · On-site

$200K - $400K/yr

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is ... Publication record in machine learning, computer vision, or generative modeling The US base salary ...

Figure

Helix AI Engineer, Modeling

San Jose, CA · On-site

$200K - $400K/yr

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is ... Publication record in machine learning, computer vision, NLP, or multimodal AI The US base salary ...

Figure

Helix AI Engineer, Modeling

San Jose, CA · On-site

$200K - $400K/yr

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is ... Publication record in machine learning, computer vision, NLP, or multimodal AI The US base salary ...

Figure

Helix AI Engineer, Robot Learning

San Jose, CA · On-site

$200K - $400K/yr

Figure is headquartered in San Jose, CA. We are looking for a Helix AI Engineer, Robot Learning ... with a strong robotics learning background to help develop and improve our visuomotor manipulation ...

Figure

Lead, Data Operations Global Expansion

San Jose, CA · On-site

$100K - $160K/yr

... engineering and product at every step. Responsibilities : Day one, you will own Figure's data ... Background in AI/ML companies or understanding of data collection for machine learning * Fluency in ...

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, 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

Lead, Data Operations Global Expansion

San Jose, CA · On-site

$100K - $160K/yr

... engineering and product at every step. Responsibilities : Day one, you will own Figure's data ... Background in AI/ML companies or understanding of data collection for machine learning * Fluency in ...

Figure

Helix AI Engineer, Robot Learning

San Jose, CA · On-site

$200K - $400K/yr

Figure is headquartered in San Jose, CA. We are looking for a Helix AI Engineer, Robot Learning ... with a strong robotics learning background to help develop and improve our visuomotor manipulation ...

Figure

Gear Machinist

San Jose, CA · On-site

$45 - $80/hr

Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. We are looking for a skilled Gear Machinist to join our machine ...

Figure

Gear Machinist

San Jose, CA · On-site

$45 - $80/hr

Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. We are looking for a skilled Gear Machinist to join our machine ...

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Figure Jobs Information

What is it like to work at Figure?

Figure is a technology company that prioritizes innovation and collaboration, fostering an environment where employees can work together to drive progress and push boundaries.

The company's team structure is designed to be agile and adaptable, with a flat organizational hierarchy that encourages open communication and cross-functional collaboration. Figure's work environment is focused on delivering cutting-edge financial technology solutions, with a mission to make financial services more accessible and user-friendly.

Working at Figure may appeal to candidates who are passionate about fintech, enjoy working in a fast-paced and dynamic environment, and are motivated by the opportunity to contribute to a company that is shaping the future of financial services.

What makes Figure an attractive place to work?

Figure is a leading provider of digital banking and financial services, known for its innovative approach to modernizing traditional banking systems. The company's workplace culture values collaboration, creativity, and continuous learning, with opportunities for employees to work on cutting-edge projects and contribute to the development of new financial technologies. By joining Figure, professionals can gain valuable experience, expand their skill set, and be part of a dynamic team shaping the future of banking and finance.

What other companies are hiring for Machine Learning Engineer jobs?

What are the most popular jobs at Figure?

What are the most popular categories at Figure?

Infographic showing various Machine Learning Engineer job openings at Figure in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 94% Physical, and 6% Hybrid job distribution.

Helix AI Engineer, Generative AI

San Jose, CA • On-site

Figure
See more jobs at Figureexternal

$200K - $400K/yr

Full-time

Re-posted 6 days ago

Key responsibilities

  • Design, train, and deploy large-scale generative models, focusing on diffusion-based approaches for vision, video, and multimodal data.

  • Develop models to improve robot perception, world modeling, and prediction from raw sensory inputs.

  • Work closely with data, training infrastructure, and agent teams to integrate generative models into the full autonomy stack.

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, 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
  • Experience training and deploying generative models (diffusion, autoregressive, or related approaches) at scale
  • Strong understanding of modern deep learning techniques for vision and/or multimodal systems
  • Proficiency in Python and deep learning frameworks such as PyTorch
  • Experience working with large-scale datasets and distributed training systems
  • Strong experimental rigor and ability to iterate quickly on model performance
  • Solid software engineering skills and ability to build reliable, maintainable systems
  • Ability to operate independently and own ambiguous, high-impact technical problems
Bonus Qualifications
  • Experience with diffusion models for image or video generation
  • Experience with multimodal foundation models (vision-language or vision-language-action)
  • Background in synthetic data generation or simulation for robotics or embodied AI
  • Experience optimizing large-scale training (multi-node, GPU clusters, etc.)
  • Familiarity with 3D, video prediction, or world models
  • Prior work in robotics, embodied AI, or real-world ML systems
  • Publication record in machine learning, computer vision, or generative modeling

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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