We're reimagining fashion shopping with AI avatars. To do this we're developing cutting-edge diffusion models and designing novel, personalized interfaces.
We're a small team of creative builders in NYC with a rare combination of taste and deep AI expertise. Previously we've shipped consumer products to millions at Apple, DeepMind, Meta, and startups. Backed by the investors behind OpenAI, Cursor, and SKIMS, our company is positioned at the intersection of AI, technology, and culture.
The RoleWe're looking for Research Engineers to help us build the next generation of our avatar and virtual try-on models. This role is in-person from our office in NYC.
As Research Engineer you will…
Implement cutting-edge generative AI features for inclusion in our product
Build data pipelines to feed large-scale image and video datasets into model training
Enhance model quality through user feedback and preference-based tuning
Improve virtual try-on for diverse body types, clothing styles, and aesthetic treatments
Collaborate effectively in a shared codebase while upholding high coding standards
Develop state-of-the-art personalized try-on capabilities in video and 3D
Work directly with our founders to create industry-leading technology
You're a great fit if you…
Have hands-on experience training and fine-tuning diffusion models (MUST-HAVE requirement)
Are familiar with implementing and optimizing diffusion model training pipelines
Care deeply about craft and creating category-defining experiences
Have worked in rigorous, fast-paced environments (i.e. startups) or have been a very productive IC in academia or open-source
Are self-driven, high-agency, and can learn new things quickly and deeply
Have implemented ML papers from scratch in pytorch or jax
Get excited about new ML methods, and read papers for fun
Have instincts on how to get unstuck when things don't work
Have genuine interest in fashion, avatars, or creative expression
Bonus if you…
Have experience with virtual try on
Have built consumer products
Skills Required
- Hands-on experience training and fine-tuning diffusion models
- Familiarity with implementing and optimizing diffusion model training pipelines
- Experience with implementing ML methods in Pytorch or JAX
