Machine Learning Engineer - Generative AI

Department: Engineering

Location: San Francisco

Employment Type: FullTime

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.

What we Require

• 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.