URBN is looking for a Senior Data Scientist to join Anthropologie and lead the development of AI-powered visual experiences. This role focuses on image and video generation, where you will drive algorithm development and build innovative, scalable solutions that integrate across our digital ecosystem. You'll collaborate closely with leadership, Product Management, Creative, and Engineering teams.

What You'll Do

Design, implement, and optimize image and video generation pipelines using state-of-the-art models to produce high-quality visual content at scale.
Build and maintain multi-model generative workflows using orchestration tools, chaining generation, inpainting, upscaling, style transfer, and conditioning steps into production-ready pipelines.
Fine-tune and adapt image generation models using techniques such as LoRA, DreamBooth, ControlNet, IP-Adapter, and textual inversion to achieve brand-consistent, style-controlled outputs.
Leverage multimodal and vision-language models for image understanding, visual analysis, automated tagging, and quality evaluation within generative workflows.
Evaluate, prototype, and integrate emerging video generation models into creative and product workflows.
Develop agentic AI pipelines that orchestrate multi-step visual content creation, from prompt generation and image synthesis to post-processing and delivery.
Collaborate with cross-functional teams including Creative, Product Management, and Engineering to translate brand and business needs into scalable generative AI solutions.
Lead the technical evaluation of new generative AI models, tools, and vendors as the landscape evolves, influencing decisions for URBN's visual AI technology stack.
Guide data curation and preparation strategies for fine-tuning, including dataset construction, annotation workflows, and synthetic data generation.
Analyze and benchmark model outputs for quality, consistency, and brand alignment, designing robust validation and feedback loops.
Partner with engineers to translate research prototypes into production-grade services and APIs, with attention to cost optimization and throughput at scale.

What We're Looking For

5+ years of industry experience in data science, machine learning, or AI engineering, with a strong foundation in ML fundamentals.
1+ year of hands-on experience working with image generation models in a professional or serious applied context.
Strong proficiency in Python, with practical experience using ML frameworks such as PyTorch and Hugging Face multimodal models.
Hands-on experience with image model fine-tuning and conditioning techniques.
Working knowledge of GenAI workflow orchestration tools for building multi-step generation pipelines.
Experience with multimodal and vision-language models for image understanding, captioning, or visual analysis.
Experience with cloud-based AI infrastructure for training, fine-tuning, and serving generative models.
Proven ability to evaluate and rapidly adopt new generative AI models and tools as the field evolves.
Strong visual sensibility, with an eye for image quality, composition, and brand consistency in generated outputs.
Excellent communication and collaboration skills, with the ability to bridge technical and creative teams.
Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Engineering, or Mathematics, or equivalent practical experience.

Nice to Have

Experience with video generation models and understanding of the evolving video GenAI landscape.
Hands-on experience with creative design tools such as Adobe Photoshop, Firefly, or Figma, especially AI-augmented creative features.
Experience building agentic AI workflows to orchestrate multi-model pipelines.
Familiarity with fashion, retail, or e-commerce applications of generative AI.