Machine Learning Engineer - Generative AI

Posted Yesterday
San Francisco, CA, USA
In-Office
Junior
Artificial Intelligence • Software • Design • Generative AI
The Role
Develop, train, evaluate, and deploy spatial generative AI models for home renovation and design. Define inference framing, prepare image-based datasets with labeling partners, iterate with user feedback, and deploy performant models into production architecture.
Summary Generated by Built In

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.

Skills Required

  • 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 to design performant spatial and generative solutions
  • Proficiency in Python
  • Experience using NumPy and PyTorch
Am I A Good Fit?
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The Company
10 Employees

What We Do

Dream Technologies is a software company focused on redefining the future of home design. The company leverages cutting-edge technology, including Generative AI, Machine Learning, and 3D graphics systems, to create innovative design tools. Their mission is to modernize the home design experience through high-performance engineering and artificial intelligence, as demonstrated by their recruitment of specialized engineers in generative AI and 3D systems.

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