AI Developer – Personal Styling Application (Machine Learning & Recommendation Systems)

Filled
February 26, 2026
Apply Now

Job Description

Project Type: Contract (MVP → Potential Long-Term)
Location: Remote
Industry: Fashion Tech / AI / Consumer App

Project Overview

We are building an AI-powered personal styling application that delivers tailored fashion recommendations based on user preferences, body type, lifestyle, and trends.

We are seeking an experienced AI Developer with a strong background in machine learning and recommendation systems to help design and implement the core intelligence of the platform.

You will collaborate closely with our design and product teams to create a seamless and engaging user experience powered by smart personalization.

Key Responsibilities

  • Design and implement machine learning models for personalized fashion recommendations
  • Develop and optimize recommendation systems (content-based, collaborative filtering, or hybrid approaches)
  • Integrate AI models into a production-ready backend
  • Work with structured and unstructured data (user preferences, style inputs, images, etc.)
  • Improve personalization through continuous learning and feedback loops
  • Collaborate with frontend and UX teams to ensure smooth AI-driven user interactions
  • Optimize model performance and scalability

Technical Requirements

  • Strong experience in Python (preferred)
  • Hands-on experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
  • Experience building recommendation systems
  • Knowledge of user behavior modeling
  • Experience with APIs and backend integration
  • Familiarity with data preprocessing and feature engineering
  • Experience deploying ML models in production

Nice to Have

  • Experience with computer vision (outfit recognition, image tagging)
  • Experience with LLM integration for style advice or conversational features
  • Background in fashion-tech or e-commerce personalization
  • Experience with cloud ML services (AWS SageMaker, GCP Vertex AI, etc.)
  • Knowledge of A/B testing for recommendation systems

Ideal Candidate

  • Passionate about AI-driven consumer products
  • Strong problem-solving and experimentation mindset
  • Able to balance technical depth with user experience
  • Comfortable working in MVP/startup environments
  • Interested in long-term product evolution

To Apply

Please include:

  1. Examples of recommendation systems or AI products you’ve built
  2. The ML approach you would suggest for a personal styling app
  3. Experience deploying models in production
  4. Estimated timeline for MVP AI implementation