Position Summary...
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What you'll do...
The Machine Learning Engineer in the Search Data Science team will play a pivotal role in supporting the architecture and development of AI initiatives within the Sam's Club division of Walmart Inc.
This position is key to crafting the ML / AI models that will enhance member experiences across eCommerce, Scan & Go, and in-club shopping.
As a Machine Learning Engineer, you will contribute to the end-to-end development of Machine Learning products in the Search domain, working within a scrum team.
You'll collaborate with an elite team of Product Managers and Technologists to scale ML / AI solutions, merging retail industry insights with machine learning algorithms to disrupt conventional business models and support ambitious growth targets.
Joining this role, you become part of a dynamic group leading impactful and transformative changes in Search and Ads, positioning our business for future success.
About Team : Sams Search and Browse
OmniCommerce Search Team at Sam's Club to serve Search and Browse experience across all channels. An elite ensemble of Data Scientists, Machine Learning Experts, and Software Engineers, focused on redefining the OmniCommerce search experience within the expansive retail landscapes of Walmart and Sam's Club.
Central to our mission is a deep commitment to Relevance and Ranking, ensuring every search result not only meets the highest standards of precision but also significantly simplifies and enhances the customer journey.
Our advanced, high-scalability systems are meticulously engineered to improve interactions, rendering the shopping experience effortlessly intuitive and markedly easing the lives of our customers.
As the custodians of substantial traffic volumes, our efforts are crucial in propelling significant revenue growth and are celebrated across both organizations for our innovative approach to challenges.
Standing at the forefront of search optimization, we are unwaveringly dedicated to delivering solutions that are profoundly customer-centric, aiming to maximize visibility and drive marketplace success for Sam's Club.
What You'll Do
• Supporting the backend software development for AI / ML solutions, working closely with a team of Data Scientists and Engineers.
• Collaborating with Product and Engineering leaders to drive innovations in discovery experiences through insights, frameworks, and machine learning prototypes.
• Participating in the full life cycle of projects, from planning to deployment, focusing on stakeholder management and cross-functional communication.
• Contributing to the development of an MLOps framework for continuous testing and personalization of user experiences.
What You'll Bring
• You have experience developing large-scale production systems, especially in Search, information retrieval, and ranking systems.
• You're skilled in building large-scale ML systems on public clouds like Azure or Google Cloud.
• With 3+ years in applied machine learning, you are proficient in algorithms like Collaborative Filtering, Deep Neural Networks, and others, and in programming languages such as Python or Java.
• You're experienced with ML Software (e.g., TensorFlow, PyTorch) and cloud environments (Azure, Google Cloud).
• You have solid MLOps practices, including design documentation, unit testing, and source code control (git), and are familiar with agile methodologies and tools like JIRA.
About Walmart General / Not Function Specific
Sam Walton opened the first Sam's Club in 1983 to meet a growing need among customers who wanted to buy merchandise in bulk.
Since then, Sam's Club has grown rapidly, opening more than 600 clubs in the U.S. and 100 clubs internationally. By offering affordable, wholesale merchandise to members, Sam's Club helps make saving simple for families and small business owners.
Sam's Club employs about 110,000 associates in the U.S. The average club is 134,000 square feet and offers bulk groceries and general merchandise.
Most clubs also have specialty services, such as a pharmacy, an optical department, a photo center, or a tire and battery center.
Future Ways Of Working
Our company's success can be attributed to our employees. While technology has allowed us to be effective while working remotely, there is no substitute for being in the office together;
it helps to shape our culture, collaborate, innovate, build relationships, and move more quickly. We strive to provide flexibility in order to promote a healthy work-life balance but recognize that in-person interactions are important to our culture and shared success.
We'll meet in person on a regular and purposeful basis.
Benefits
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 pare
Location: Dallas, TX
Posted: Aug. 18, 2024, 6:54 a.m.
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