Williams-Sonoma, Inc.

About the Company

Founded in 1956, Williams-Sonoma, Inc. is the premier specialty retailer of high-quality products for the home. Our family of brands includes Williams Sonoma, Pottery Barn, Pottery Barn Kids, PBteen, West Elm, Williams-Sonoma Home, Rejuvenation, and Mark and Graham. These brands are among the best known and most respected in the industry. We offer beautifully-designed, stylish and functional products for every area of the home, including the kitchen, living room, bedroom, home office, closet, laundry room, and even outdoor spaces. We've seen some big changes since our first brick-and-mortar store opened more than half of a century ago. What hasn't changed is our passion for high-quality products, functional design, outstanding customer service, and enhancing the lives of our customers and the communities where we operate. Today, we're a multi-brand, multi-channel, global enterprise supported by state-of-the-art technology and some of the most talented teams in retailing - and we're always looking for new energy and ideas.

Listed Jobs

Company Name

Williams-Sonoma, Inc.

Job Title

Merchandise Analyst, Dormify

Job Description

Job title: Merchandise Analyst Role Summary: Supports Website Merchandising teams by managing seasonal product databases, ensuring data integrity, and coordinating deployment and testing across eCommerce environments. Expectations: Deliver accurate, timely updates to product records; maintain consistency between internal systems and the website; collaborate cross‑functionally to resolve issues; handle multiple simultaneous tasks and meet project deadlines. Key Responsibilities - Compile, input, and maintain seasonal product information in eCommerce and registry databases. - Work with the Creative team to create and maintain product databases and change forms, ensuring database consistency. - Coordinate with Website Merchandising to verify site layout, data integrity, and correct product setup. - Collaborate with Site Managers, Project Management, and e‑Technology teams for database uploads to merchant preview, dev, and QA environments. - Review creative content for product data accuracy. - Participate in weekly site testing to confirm data integrity. - Archive seasonal website features, functionality, and products. - Execute additional projects as assigned. Required Skills - Advanced Excel; strong Word processing and basic database skills. - Detail‑oriented, highly organized, capable of managing multiple tasks and deadlines. - Strong verbal and written communication; able to present data to non‑technical audiences. - Problem‑solving and creative solution orientation. - Cross‑functional teamwork with merchandising planners, buyers, and sales teams. - Understanding of eCommerce platforms, digital marketing, and supply chain fundamentals. Required Education & Certifications - Bachelor’s degree (BA/BS). - 1–2 years of experience in eCommerce, retail, or catalog management.

San francisco, United states

On site

Fresher

18-12-2025

Company Name

Williams-Sonoma, Inc.

Job Title

Research Engineering Internship - AI, Computer Vision, & Visualization

Job Description

**Job Title** Research Engineering Internship – AI, Computer Vision & Visualization **Role Summary** Provide technical research and development support to a team focused on advancing visual experiences through computer vision, graphics, and machine learning. Work on projects ranging from deep neural network optimization for vision tasks to generation of synthetic high‑quality imagery using generative models. Contribute to AI integration into production workflows, quality control enhancement, and automated content creation pipelines. **Expectations** - Graduate student in CS, EE, Applied Math or related field, expected to graduate 2025‑2026. - 1–2+ years of software engineering experience. - Minimum GPA 3.5. - Strong Python or C++ coding abilities. - Excellent written and verbal communication skills. - Willingness to work on-site as required. **Key Responsibilities** - Design, implement, and evaluate deep neural networks for image segmentation and object detection. - Develop and refine generative models (e.g., Stable Diffusion) for realistic visual content creation. - Support integration of AI components into existing production pipelines, focusing on workflow automation. - Build quality‑control algorithms to improve product image standards. - Generate synthetic photo‑quality imagery via image content pipelines. - Clean, process, and prepare datasets for training and inference. - Maintain and update PostgreSQL databases and associated image assets. - Collaborate on UI components using Python or React to support visualization tools. - Deploy models and services on cloud platforms, ensuring scalability and reliability. **Required Skills** - Proficiency in NumPy, scikit‑learn, OpenCV, Blender API, TensorFlow, PyTorch. - Experience with image generation GenAI models. - Strong algorithm design and implementation. - Software engineering best practices (version control, testing, CI/CD). - Data processing and cleaning capabilities. - Familiarity with PostgreSQL and image asset management. - Basic understanding of cloud infrastructure (AWS, Azure, GCP). - Ability to work effectively in a team environment. **Required Education & Certifications** - Enrolled in a master’s (MSc) or doctoral (PhD) program in Computer Science, Electrical Engineering, Applied Mathematics, or a related field. - Expected graduation between Fall/Winter 2025 or Spring/Summer 2026. - Minimum GPA 3.5. - No specific professional certifications required.

San jose, United states

Hybrid

Fresher

29-12-2025