Location: Hoboken,NJ, USA
Position Summary
At Walmart Global Tech, our Search algorithm team is on a mission to assist millions of customers in finding the perfect products every day. As a member of this team, you'll tackle fascinating and impactful challenges in machine learning, information retrieval, NLP, and computer vision. By developing cutting-edge algorithms, you'll empower customers to effortlessly express their preferences across various devices and modalities (voice, text, image, etc.). Your work will involve creating machine-learned models to engage with customers, understand their goals, and help them make informed purchase decisions. With your contributions, your work will directly impact the goals of the Fortune #1 enterprise, reaching millions of customers. If you're passionate about machine learning and want to make a difference, we'd love to have you join our team and embark on an exciting journey.
About Team
Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.
As part of the Ranking Team, your primary focus will be to enhance one of the key facets of product search - optimizing the ranking of relevant products based on multiple factors such as GMV, conversion, diversity, and cold start.
Your role will primarily involve the application of advanced machine learning, information retrieval, NLP, and computer vision techniques to enhance our product research ranking algorithms. Your contributions will directly influence the objectives of the world's leading Fortune 1 enterprise and touch the lives of millions of customers.
If you are passionate about machine learning and are keen to make a significant impact, we would be delighted to welcome you to our team as we embark on an exhilarating journey together.
What You'll Do
What You'll Bring
About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity experts and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Flexible, Hybrid Work
We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.
Benefits
Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer
Walmart, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity - unique styles, experiences, identities, ideas and opinions - while being inclusive of all people.
Minimum Qualifications
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Preferred Qualifications
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Primary Location
221 River St, Hoboken, NJ 07030, United States of America
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