Machine Learning Engineer - Generative AI

Dream Technologies • San Francisco, CA

15h

About The Position

We are looking for a Generative AI engineer to work on the full lifecycle of novel spatial generative AI model development, defining the correct frame of an inference problem, structuring image-based training data into usable formats, training and testing models, deploying performant systems into our production architecture stack. Upcoming Challenges Generate high quality renovation and home design layouts using state-of-the-art generative models. Build a model that adapts to user feedback and suggests home design tailored to user preferences. Define required datasets and work with labeling agencies to generate high quality data. Deploy models to production environments and iterate with real users on real-world problems.

Requirements

• MS in Computer Science with a focus or specialty in Machine Learning
• 2+ Years of experience training and deploying real-world AI
• Deep understanding of model architectures, training pipelines, and evaluation methodologies.
• Creativity and technical depth to explore, evaluate, and iterate on different machine learning approaches
• Scrappiness and speed in getting models built and tested under real-world constraints.
• Strong background in algorithms, data structures, and mathematics, with the ability to design performant solutions to spatial and generative problems.
• Proficiency in Python, with a strong preference for experience using NumPy and PyTorch.

Responsibilities

• Generate high quality renovation and home design layouts using state-of-the-art generative models.
• Build a model that adapts to user feedback and suggests home design tailored to user preferences.
• Define required datasets and work with labeling agencies to generate high quality data.
• Deploy models to production environments and iterate with real users on real-world problems.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level