See more Data Science jobs →

← Back to all jobs

Position Description

Interns will work with the Search Guide team within Search Team.
The principal goal of Search Guide team is to suggest the relevant products to customers that satisfy their intent. Projects include but not limited to Relevance Algorithms, Learning-To-Rank and Behavioral Feature Engineering. Interns will be working on applying advanced Machine Learning or Deep Learning techniques applied to Natural Language Processing and Information Retrieval on large-scale datasets.
Minimum Qualifications

o Currently working towards a PhD degree in an area of Machine Learning
o Expertise in Deep Learning is highly preferred
o Comfortable with coding in Python
o Hands on with visualizing data
o Familiarity with SQL query languages and working with a database
o Hands on experience with popular Python ML libraries (Numpy, Scikit-Learn, Tensorflow etc) is a plus
Additional Preferred Qualifications

Please add text
Company Summary

Walmart Global eCommerce is comprised of Walmart.com, VUDU, SamsClub.com, and our technical powerhouse @WalmartLabs. Here, innovators incubate next gen e-commerce solutions in real-time. We integrate online, physical, and mobile shopping experiences for billions of customers around the globe. How do we do it? We continuously build and invest in new technology including open source tools and big data innovations. Data scientists, front and back-end engineers, product managers, and web and UX/UI teams collaborate alongside e-commerce experts to envision, prototype, and bring revolutionary ideas to life in a dynamic, flexible and fun work culture.
Position Summary

Interns will work with the Search Guide team within Search Team.
The principal goal of Search Guide team is to suggest the relevant products to customers that satisfy their intent. Projects include but not limited to Relevance Algorithms, Learning-To-Rank and Behavioral Feature Engineering. Interns will be working on applying advanced Machine Learning or Deep Learning techniques applied to Natural Language Processing and Information Retrieval on large-scale datasets.