Solve business-critical data-driven problems Make improvements to algorithms, code, and systems Collaborate closely with team members within the organization (i.e. ML, mapping, AI, Product, Leadership, etc.) Solve technical issues and help shape an overarching strategy Continue to learn/research new areas in ML Criteria Bachelor’s Degree in Computer Science or related field or equivalent work experience Strong hands-on programming experience with Java, Scala, Python, and C 2 years work experienc... more details
Software Engineer - Machine Learning
About the Machine Learning Team
At Williams-Sonoma, Inc., we are harnessing the power of data science, machine learning and predictive analytics to better understand the dynamic trends, patterns and anomalies of our business and customer behavior and leverage them to solve complex problems across the enterprise in the areas of product finding, assortment intelligence, supply chain network optimization, relevant and personalized customer experiences and more for all of our brands.
Overview of the Software Engineer - Machine Learning role
The Williams-Sonoma, Inc. Technology organization seeks a talented Software Engineer - Machine Learning to?assist with developing strategies, roadmaps, frameworks and solutions as a key member of our AI & Machine Learning team.
Responsibilities
- Solve business-critical data-driven problems
- Make improvements to algorithms, code, and systems
- Collaborate closely with team members within the organization (i.e. ML, mapping, AI, Product, Leadership, etc.)
- Solve technical issues and help shape an overarching strategy
- Continue to learn/research new areas in ML
Criteria
- Bachelor’s Degree in Computer Science or related field or equivalent work experience
- Strong hands-on programming experience with Java, Scala, Python, and C++
- 2 years work experience in Machine Learning, Data Science, and Software Engineering
- Experience in applied ML with a proven record of successful ML projects with vital individual contribution
- Proven experience in taking ideas to actual products
- Deep understanding of data structure, performance optimization, and algorithms.
- Understanding of internals of modern NLP, CV, or ASR models, and ability to customize architecture to different tasks and scenarios
- Experience with online learning, contextual bandits, reinforcement learning, and recommendation systems.
- Experience with data analysis and statistical visualization tools such as matplotlib and seaborn
- Good knowledge of big data such as Spark, Hadoop, Kafka, Hive, and ElasticSearch
- Strong communication, collaboration, and analytical skills
We believe in People First
We firmly believe that working in a culture focused on diversity, equity, and inclusion spurs innovation, creates healthy and high-performing teams, and delivers superior customer experiences. Our DEI initiatives prompt associate participation and engagement, aligning with our core vision to reflect the communities where we do business and put people first.
Benefits Just for You
Depending on your position and your location, here are a few highlights of what you might be eligible for:
- A generous discount on all Williams-Sonoma, Inc. brands
- A 401(k) plan and other investment opportunities
- Paid vacations, holidays, and time off to volunteer
- Health benefits, dental and vision insurance, including same-sex domestic partner benefits
- Tax-free commuter benefits
- A wellness program that supports your physical, financial and emotional health
Your Journey in Continued Learning
- In-person and online learning opportunities through WSI University
- Cross-brand and cross-function career opportunities
- Resources for self-development
- Advisor (Mentor) program
- Career development workshops and learning programs
- Speaker series
This role is not eligible for relocation assistance.
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.
The expected starting pay range for this position is $100,000 - $130,000 annually. Applicable pay ranges may differ across markets. Actual pay will be determined based on experience and other job-related factors permitted by law. In addition to competitive pay, compensation may include a variety of other components like benefits, paid time off, merit, and bonus opportunities.
