Generative AI Engineer for Humanoid Autonomy (In-Office)

Figureai; San Jose (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Figureai, headquartered in San Jose, CA, is seeking a Helix AI Engineer to design and deploy generative models that enhance robotic understanding and interaction with the real world.

The ideal candidate will have experience with training generative models, be proficient in Python and deep learning frameworks like PyTorch, and possess strong software engineering skills. This position is in-office 5 days a week, focusing on building more capable humanoid robots through advanced AI techniques.

Qualifications

• Experience training and deploying generative models (diffusion, autoregressive, etc.) at scale.
• Strong understanding of deep learning techniques for vision and/or multimodal systems.
• Proficiency in Python and in using frameworks like PyTorch.
• Experience with large-scale datasets and distributed training systems.
• Ability to iterate quickly on model performance.
• Solid software engineering skills to build reliable systems.
• Ability to own ambiguous, high-impact technical problems.

Responsibilities

• Design, train, and deploy large-scale generative models.
• Improve robot perception and world modeling.
• Create synthetic data and scale datasets for robot learning.
• Explore techniques in generative modeling and multimodal systems.
• Optimize training pipelines across distributed systems.
• Integrate generative models into the autonomy stack.
• Evaluate model quality and generalization in real-world scenarios.
• Contribute to scalable experimentation frameworks.

Skills

Training and deploying generative models

Deep learning techniques

Python proficiency

Large-scale datasets management

Software engineering skills

Independent problem solving

Tools

PyTorch

Job description

Figureai, headquartered in San Jose, CA, is seeking a Helix AI Engineer to design and deploy generative models that enhance robotic understanding and interaction with the real world.

The ideal candidate will have experience with training generative models, be proficient in Python and deep learning frameworks like PyTorch, and possess strong software engineering skills. This position is in-office 5 days a week, focusing on building more capable humanoid robots through advanced AI techniques.