D
Dreamhqvia Ashby
ML Engineer - Generative AI
San FranciscoPosted 10mo ago
NLP / LLMMid LevelFull-time
Not sure if you're a good fit?
Upload your resume and TixelJobs AI will compare it against ML Engineer - Generative AI at Dreamhq. Get a match score, missing keywords, and improvement tips before you apply.
Free preview · Your resume stays private
About the Role
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.
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.
Ready to apply?
This job is active. Apply now to get in early.