Multimodal AI Research Intern — Vision & Recommendation Systems

Multimodal AI Research Intern — Vision & Recommendation Systems

Location: Remote
Type: Research / Applied AI Internship (PhD-level or equivalent)

🌐 About Us

At fAIshion.AI, we are building an AI Stylist that helps anyone create complete outfits from real products.

Users can describe a scenario such as:

“What should I wear to a wedding in Paris?”

and instantly receive a fully styled outfit recommendation composed of real products from our database or from their personal wardrobe.

Our system learns styling logic by analyzing large-scale fashion images from creators and editorial sources, combining visual understanding with recommendation systems.

With users in 100+ countries and integrations across 1,000+ fashion sites, we are building the intelligence layer for personal styling in the AI era.

Key Responsibilities

Styling Intelligence

Build models that learn multi-item outfit compatibility from fashion images and influencer styling examples.

Fashion Data Mining

Develop pipelines to collect, clean, and structure fashion styling data from public sources (creator images, lookbooks, outfit posts).

Multimodal Representation

Use open-source models such as Qwen or vision-language models to extract attributes, style signals, and outfit relationships from images.

Recommendation Engine

Design systems that recommend complete outfits based on:

user scenario

personal wardrobe

product catalog

Rapid Prototyping

Move quickly from dataset → model → product experiment.

🎓 Requirements

Strong ML / AI background

PhD student or equivalent experience in:

Machine Learning

Recommendation Systems

Computer Vision

Multimodal models

Data Engineering Ability

Experience building large-scale datasets from messy real-world sources.

Fast Builder Mindset

Ability to prototype quickly and iterate on imperfect data.

Product Intuition

You understand that fashion recommendation is about visual harmony and context, not just classification.

Preferred / Bonus

Experience with:

web scraping / large-scale data collection

multimodal models

recommendation systems

fashion or e-commerce datasets

Interest in how AI transforms creator content and online shopping.

💎 Why Join

Impact
Your work will directly power the AI Stylist used by people in 100+ countries.

Ownership
Work directly with the founding team in a fast-moving, remote-first environment.

Career Path
Top performers may be invited to join the founding team.