Generative AI Engineer — Spatial Design & Production

Dream Technologies; San Francisco (CA); On-site; USD 110,000 - 150,000; Full time

Job summary

A leading tech company in San Francisco is seeking a Generative AI engineer to develop novel spatial generative AI models. Responsibilities include generating high-quality design layouts, adapting models based on user feedback, and deploying solutions in production. The ideal candidate holds a Master's degree in Computer Science, has over 2 years of real-world AI experience, and is proficient in Python, particularly with NumPy and PyTorch. Creativity and a strong mathematical background are essential.

Qualifications

• 2+ years of experience training and deploying real-world AI.
• Deep understanding of model architectures, training pipelines, and evaluation methodologies.
• Ability to design performant solutions to spatial and generative problems.

Responsibilities

• Generate high-quality renovation and home design layouts.
• Build a model that adapts to user feedback.
• Define required datasets and work with labeling agencies.
• Deploy models to production environments and iterate based on user feedback.

Skills

Proficiency in Python

Experience with NumPy

Experience with PyTorch

Creativity in machine learning approaches

Strong background in algorithms and data structures

Education

MS in Computer Science with a focus on Machine Learning

Job description

A leading tech company in San Francisco is seeking a Generative AI engineer to develop novel spatial generative AI models. Responsibilities include generating high-quality design layouts, adapting models based on user feedback, and deploying solutions in production. The ideal candidate holds a Master's degree in Computer Science, has over 2 years of real-world AI experience, and is proficient in Python, particularly with NumPy and PyTorch. Creativity and a strong mathematical background are essential.