Staff, Data Scientist (Recommendation)

Position Summary...

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What you'll do...

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*Immigration sponsorship is not available for this role. Applicants must**be authorized to**work for any employer in the United States without current or future visa sponsorship.*

*This is a full-time onsite role based in Sunnyvale, CA**; remote**and hybrid options are not available.*

About the Role

We are looking for a passionate, talented applied scientist experienced in the field of Recommender Systems, Information Retrieval, and/or Reinforcement Learning to invent and build scalable solutions for our marketplace goals. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also enjoy operating in dynamic environments, be self-motivated to take on challenging problems to deliver big customer impact, in fast moving iterative development cycles.

About the Team

The Personalization team at Walmart works on the mission to provide delightful customer experiences, increase customer engagement, and enable customer interactions to enhance business goals across different e-commerce touch points (e.g., W+, homepage, item page, deals and omni and marketplace).

As an applied science team, we are responsible for pushing the boundaries and building cutting-edge scalable AI solutions (e.g. Large Language Model, Graph Neural Network, reinforcement learning models, multi-objective optimization models) that offer timely and personalized recommendations based on customers preferences to create relevant and meaningful experiences serving millions of customers across the globe.

Our team creates reusable technologies to help with customer acquisition, onboarding, and empowering merchants, while ensuring a seamless experience for both of these stakeholders. We also optimize tariffs and assortment in acc