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Clothsy AI Talk to us
Clothsy AI Talk to us

CAREERS

Join the virtual try‑on research team.

We are building a research team at FabricVTON. The work feeds directly into our try-on engine, which generates photorealistic images of a person wearing a garment they have never physically worn.

NOW BUILDING

Research team

Students, researchers and engineers. Apply in about two minutes.

Apply now

THE WORK

Real research, shipped in production.

We work on these problems as research: proper experiments, ablations and benchmarks, and we aim to publish what we learn. The same work ships inside our product, so you see it used.

Read the problem statements

  1. Fabric fidelity through warping

    Keeping texture, print and logos intact while a garment is warped onto a body.

  2. Drape and folds

    Realistic drape, folds and fit across different body shapes.

  3. Pose and camera consistency

    The same garment, consistent across poses and camera angles.

  4. Fast, affordable inference

    Generation fast and cheap enough to run on a live storefront.

WHO WE ARE LOOKING FOR

Curious, rigorous, and honest about results.

There is no single profile. What matters is that you can take a hard, vague problem, make it precise, and tell the truth about what worked.

You might be

  • Undergraduate and master’s students
  • PhD students and research scholars
  • Working engineers and researchers
  • Independent researchers
  • People between roles or taking a break
Generative models
Diffusion models, conditioning, attention, training at scale.
Computer vision
Pose, parsing, segmentation, dense correspondence.
Graphics and materials
Cloth simulation, reflectance, rendering, 3D garments.
Evaluation
Metrics, benchmarks, human studies, careful experiment design.
Efficient inference
Distillation, quantisation, serving under real traffic.
Data
Pipelines, annotation, provenance and licensing.

Experience in any of these helps. None of them is required.

HOW TO APPLY

Three steps.

  1. Apply

    A short form: your background, what you have built, and links to your LinkedIn, GitHub and any papers or portfolio. It takes about two minutes.

  2. We read it

    Every application is read by a person, and every strong answer gets a reply.

  3. Talk about a problem

    If there is a fit, we talk about the open problem you would most want to work on and how you would approach it.

Apply to the research team Ask a question