Figure
Figure

60 Figure Machine Learning Engineer Jobs Hiring Near You

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

... Publication record in machine learning, robotics, or embodied AI • Passion for building ... Figure is an AI robotics company that develops autonomous general-purpose humanoid robots. Founded ...

They are seeking a Helix AI Engineer, Pretraining to build large-scale foundation models that learn ... machine learning, NLP, or multimodal AI Company : Figure is an AI robotics company that develops ...

... Publication record in machine learning, robotics, or embodied AI • Passion for building ... Figure is an AI robotics company that develops autonomous general-purpose humanoid robots. Founded ...

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

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

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 ...

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 ...

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 is headquartered in San Jose, CA. Our goal is to create embodied AI systems that can ... Publication record in machine learning, robotics, or embodied AI * Passion for building autonomous ...

Figure is headquartered in San Jose, CA. Our goal is to create embodied AI systems that can ... Publication record in machine learning, robotics, or embodied AI * Passion for building autonomous ...

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of ... engineering skills, with proficiency in Python. * Experience applying AI or machine learning ...

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of ... engineering skills, with proficiency in Python. * Experience applying AI or machine learning ...

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 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 ...

... 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 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 ...

Showing results 21-40

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 are the most popular categories at Figure?

Infographic showing various Machine Learning Engineer job openings at Figure in the United States as of August 2026, with employment types broken down into 2% Internship, and 98% Full Time. Highlights an 89% Physical, 10% Hybrid, and 1% Remote job distribution.

Helix AI Engineer, Pretraining

Figure

San Jose, CA • On-site

$200K - $400K/yr

Full-time

Re-posted 13 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 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.