Staff, Software Engineer/MLE

Position Summary...

The Enterprise People Technology team supports the successful deployment and adoption of new People technology across the enterprise. As a Fortune #1 company, our work impacts millions of associates globally. We strive to continuously improve people technology and products to help managers and associates so they can focus on what matters most - supporting our customers and members. People Technology is one of the major segments of Walmart Global Tech’s Enterprise Business Services, which is invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, and the Associate Digital Experience.

What you'll do...

Walmart is a multinational, people-led, tech-powered omnichannel retailer with over 2.2 million associates. At Feedback Platform, we support and empower Walmart’s associate feedback with AI and GenAI solutions to enhance productivity, seize growth opportunities, prioritize well-being, and foster a culture of belonging for Walmart associates in both the U.S. and international markets. Feedback Platform has a full-stack Generative AI team dedicated to delivering personalized, trusted, and robust knowledge, data, and actions to users.

What We Do

At Feedback Platform we focus on Gen AI and AI-powered knowledge, data, and action automation.

We developed a Retrieval-Augmented Generation (RAG) based knowledge Q&A system for internal associates by ingesting Walmart-specific policies, the company handbook, and process guides.

We engineered a next-generation agentic system to automate HR transactions for managers and people partners through a natural language conversational interface.

We implemented text-to-SQL and agentic analytics capabilities to convert structured and unstructured data into actionable insights.

What You'll Do

• Collaborate with Software Engineers: Work closely with other software engineers to develop innovative solutions.

• Develop Scalable and Personalized Experiences: Utilize your understanding of product requirements, GenAI technology stack, and software architecture to enhance associate experiences.

• Partner with Leaders: Collaborate with Feedback Platform product and business leaders to ensure alignment and integration of ML solutions into existing software and systems.

• Cross-functional Collaboration: Work with product, science, and peer engineering teams to bring products to life.

• Manage Software Development Dependencies: Work with product, science, information security, and peer engineering teams to identify and manage dependencies effectively, ensuring streamlined development processes.

• Anticipate and Mitigate Risks: Proactively identify potential risks in the software development lifecycle and implement strategies to mitigate them, ensuring timely and successful project delivery.

• Integrate Testing and Maintenance: Implement robust testing frameworks and maintenance protocols to ensure the reliability and performance of software. Collaborate with cross-functional teams to address technical challenges and ensure sustained system functionality.

• Cloud-Based Architectures: Leverage or build cloud-based architectures, technologies, and platforms to deliver optimized ML models at scale.

• Model MLOps Best Practices: Implement CI/CD best practices, including test automation, automated deployments, model retraining, and monitoring to ensure the successful deployment and continuous operation of ML systems and pipelines.

• Stay Updated: Keep abreast of the latest state-of-the-art techniques in machine learning applications/models and foster a culture of continuous learning within the organization.

What Y