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Machine Learning Engineer I

Requisition Number: SS-13223
Area of Interest: Information Technology
Organization: Corporate
Brand/Division: Shared Services
Position Type: Full-time


Location: San Francisco, CA

At Williams-Sonoma Technology, we reach beyond the code to lead and communicate. We're there to lend a hand anytime our brand and shared service partners need a technical guru. Whether it's helping an associate with a day-making tech fix, creating an online shopping experience that sails through with ease, taking our business into the next frontier, or finding new ways to run green, each of us is committed to creating a user experience that's as unique and rich as the products offered in our stores and online.

The Williams-Sonoma Technology organization is seeking an energetic and talented Machine Learning Engineer I to elevate our omnichannel execution with machine powered insights. You will work on a broad spectrum of challenging problems ranging from optimizing site recommendations to transforming insights into our supply chain operations. At Williams Sonoma, we are revolutionizing our approach to omnichannel retail through innovation, experimentation, and continuous testing of machine learning models. This approach is unlocking value and driving growth opportunities for Williams-Sonoma, West Elm, Outward, Mark and Graham, and the Pottery Barn family.

What you will be doing:

* Assist senior team members with solving business-critical data-driven problems
* Make improvements to algorithms, code, and systems
* Collaborate closely with talented senior team members within the organization (i.e. ML, mapping, AI, Product, Leadership etc.)
* Solve technical issues and shape an overarching strategy
* Continue to learn/research new areas in ML
* Be a pivotal member to vote for next years preferred coffee vendor -- really!


Required Qualifications:

* You are pursuing an MSc or Ph.D. in a STEM Field with an estimated graduation date of Dec 2018 (or sooner)
* Strong programming experience with Java, Scala, Python and/or C++
* 1.5 - 3 years' professional experience in Machine Learning, Data Science, or Software Engineering
* Deep understanding of data structure, performance optimization, and algorithms
* Good knowledge of big data platforms such as Spark, Hadoop, Kafka, Hive, and ElasticSearch
* Strong communication, analytical, and people skills -- we prefer friendly people

Work With Us / Perks:

Williams-Sonoma is a company of lifestyle brands that emphasize good living and good eating. We are a People First organization that values our customers, quality craftsmanship, corporate responsibility and a healthy work/life balance.

We are continually working to achieve our business goals while improving our social and environmental performance. As a framework to guide our efforts, we've committed to a positive impact in 3 key areas: Operations, Products and Materials, and People and Communities.

Our responsibility extends to every part of our business-- from our home to your home, to the world's home.

* Work with emerging technologies
* Team First culture
* Full-time Associate Discount at all WS brands (40% off)
* Competitive salary and 401k plan
* Shuttle to/from SF BART and Caltrain
* Pre-tax health and commuter benefits
* Bike share program
* Pet Insurance (Starting July 2018)
* Quarterly sample sales
* Wellness program and quality health insurance options
* Mothers' rooms and onsite showers
* Discounts on nearby gyms and restaurants

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Williams-Sonoma, Inc. is an Equal Opportunity Employer.

Williams-Sonoma, Inc. will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance, or other applicable state or local laws and ordinances.