URBN (Urban Outfitters, Anthropologie Group, Free People & Nuuly)

Staff Machine Learning Engineer

URBN (Urban Outfitters, Anthropologie Group, Free People & Nuuly)

full-time

Posted on:

Location Type: Office

Location: Philadelphia • Pennsylvania • United States

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Job Level

Lead

Tech Stack

CloudDistributed SystemsDockerGraphQLMicroservicesPythonPyTorchTerraform

About the role

  • Design, build, and optimize image and video generation pipelines (generation, inpainting, upscaling, style transfer, conditioning, post-processing) into production-ready, observable services with attention to cost, latency, and throughput.
  • Design and develop agentic workflows (ADK, A2A, LangGraph, or similar), MCP servers (FastMCP or similar), and microservices (FastAPI, GraphQL, or similar) to orchestrate and serve generative AI capabilities at scale.
  • Develop prompt management systems and structured prompting strategies for consistent visual output, learning on the job how to wrangle prompts for fashion-specific and virtual try-on use cases.
  • Engineer consistency mechanisms and quality gates in partnership with data scientists who own evaluation methodology.
  • Integrate multimodal and vision-language models into production workflows for image understanding, automated tagging, captioning, and quality pre-screening.
  • Collaborate with Product Designers, Product Managers, Data Scientists, and other Engineers to translate brand and business needs into scalable generative AI solutions.
  • Evaluate new technologies, models, and vendors through proof-of-concept studies.
  • Implement and maintain ML architecture, including pipelines and applications that enable training and inference of generative models in production.
  • Champion best practices in full-stack algorithm engineering.

Requirements

  • 1+ year of hands-on experience building or operationalizing image generation systems (diffusion models, multimodal pipelines) in a professional applied context.
  • Working familiarity with the rapidly evolving landscape of image and video generation models and orchestration patterns.
  • Proficient with AI-powered development tools (e.g., Cursor, VS Code Copilot, Claude Code, or Gemini).
  • Experience designing agentic workflows or AI orchestration systems using LangGraph, ADK, A2A, CrewAI, or similar.
  • Familiarity with MCP (Model Context Protocol) is a strong plus.
  • Strong proficiency in Python, with practical experience using PyTorch and/or Hugging Face for model serving, fine-tuning support, and inference optimization.
  • Strong background in scalable RESTful APIs, microservices architecture, and high-availability distributed systems.
  • Proficiency with Docker, container orchestration, cloud-native services, and cloud-based AI infrastructure.
  • Experience with Terraform or similar IaC tooling.
  • Dedication to CI/CD pipelines, TDD, and automated code quality standards.
  • Excellent communicator who can bridge technical, data science, and creative teams.
  • Comfortable with ambiguity and minimal oversight.
Benefits
  • medical
  • dental
  • vision
  • PTO
  • generous employee discounts
  • retirement savings and much more!
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
image generation systemsdiffusion modelsmultimodal pipelinesPythonPyTorchHugging FaceRESTful APIsmicroservices architectureDockerTerraform
Soft Skills
excellent communicatorcomfortable with ambiguitycollaborationproblem-solvingadaptability