Generative AI Engineer - Diffusion for Humanoid Autonomy

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

Job summary

An innovative AI robotics company is seeking a Helix AI Engineer, Generative AI to develop and scale generative models for humanoid robots. The role involves designing and deploying diffusion models, improving robot perception, and building synthetic data systems. Candidates should have experience in deep learning and Python, alongside strong software engineering skills. Offered position requires in-office collaboration in San Jose, CA, with the possibility of a competitive benefits package based on experience.

Qualifications

• Experience training and deploying generative models (diffusion, autoregressive).
• Strong understanding of techniques for vision and/or multimodal systems.
• Proficiency in Python and deep learning frameworks.

Responsibilities

• Design, train, and deploy large-scale generative models.
• Develop models that improve robot perception and world modeling.
• Build systems for synthetic data creation and dataset scaling.

Skills

Experience training and deploying generative models

Strong understanding of modern deep learning techniques

Proficiency in Python

Experience with large-scale datasets

Strong experimental rigor

Solid software engineering skills

Ability to operate independently

Tools

PyTorch

Job description

An innovative AI robotics company is seeking a Helix AI Engineer, Generative AI to develop and scale generative models for humanoid robots. The role involves designing and deploying diffusion models, improving robot perception, and building synthetic data systems. Candidates should have experience in deep learning and Python, alongside strong software engineering skills. Offered position requires in-office collaboration in San Jose, CA, with the possibility of a competitive benefits package based on experience.