Staff Engineer, Generative AI Visual Pipelines

Urban Outfitters; Philadelphia (Philadelphia County); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, vision

Employee discounts

PTO

Benefits overview

Job summary

URBN is seeking a Staff Engineer (GenAI) to build and operate image and video generation pipelines, turning research into production-ready services powering AI-driven creative experiences across URBN’s digital ecosystem.

You will own multi-model generative workflows, collaborating with data scientists, designers, product managers, and engineers to deliver robust, scalable solutions with cost-aware performance and strong output quality.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related quantitative field, or equivalent practical experience.
• Strong proficiency in Python and ML frameworks with model serving and inference optimization.
• Experience designing and operating generative AI systems in production.

Responsibilities

• Design, build, and optimize image and video generation pipelines into production-ready, observable services.
• Develop agentic workflows and microservices to orchestrate generative AI capabilities at scale.
• Implement and maintain ML architecture enabling training and inference of generative models in production.

Skills

Generative AI systems

Python

APIs & distributed systems

CI/CD & TDD

Communication

Education

Bachelor’s or Master’s in Computer Science/Engineering/Math

Tools

Docker

Terraform

FastAPI

GraphQL

PyTorch

Hugging Face

Job description

URBN is seeking a Staff Engineer (GenAI) to build and operate image and video generation pipelines, turning research into production-ready services powering AI-driven creative experiences across URBN’s digital ecosystem.

You will own multi-model generative workflows, collaborating with data scientists, designers, product managers, and engineers to deliver robust, scalable solutions with cost-aware performance and strong output quality.