Al/ML Engineering Intern

As an AI/ML Engineering Intern, you will work with the engineering and research teams on building and improving models that power Enstyle’s fashion intelligence platform. Your work will focus on applying machine learning to real-world fashion problems, including trend detection, image analysis, pattern recognition, and demand-related signals.

You will help develop and test models using structured and unstructured data, work with visual datasets such as runway and product imagery, and support experimentation with NLP, computer vision, and time-series data. You will also contribute to data pipelines, model evaluation, and tooling that enables research insights to move into production.

This role offers hands-on experience with applied AI in a production-oriented environment, where models are built to support real decisions rather than academic benchmarks.

What you will learn

• How AI and ML are applied to fashion data, imagery, and trends
• How to work with computer vision, NLP, and time-series signals
• How research models are tested, evaluated, and moved into production
• How to collaborate with fashion researchers and product teams
• How to build AI systems that support decision-making at scale

Who should apply

• Students or recent graduates in computer science, data science, AI, or related fields
• Comfortable with Python and common ML frameworks
• Interested in applied machine learning rather than pure theory
• Curious about how AI can support creative and commercial decision-making

Career path

This internship can lead to junior ML engineer, AI researcher, or applied data science roles as the platform and team grow. The role is experience-focused and unpaid, with the possibility of part-time or full-time employment based on performance and future team needs.

‍