Principal, Software Engineer (MLE) | Personalization | Image Generative Models Background

Position Summary...

What you'll do...

**Immigration sponsorship is not available in this role.**

About Team: Personalization team at Walmart is dedicated to the mission of knowing our customers better and making it frictionless and faster for them to get what they want while building a trusted partnership with Walmart. We help bring a seamless experience to our customers irrespective of how and where they engage with us – while shopping online or picking groceries at stores. We thrive to provide each customer with a journey tailored to their individual needs, preferences and routines. We operate at the intersection of huge Walmart assortment, millions of customers, thousands of stores and Walmart associates - a multi-layer multi-objective problem space which has a unique impact on Global customer base and powers assisted AI for our associates.

The Personalization team consists of big data geeks, application engineers, scientists and product visionaries all working together to design, prototype and build technology-driven products and experiences that will change the future landscape of e-commerce. We are looking for an innovative and highly skilled Principal Machine Learning Engineer to lead the architecture, design, and development of a Generative AI Image Platform. The platform will be a multi-tenant, cloud-native SaaS solution, designed to scale seamlessly and handle millions of requests while enabling state-of-the-art personalization, recommendation, and ecommerce experiences.

What you'll do:

• Platform Design & Architecture: Lead the design and development of a robust, scalable Generative AI Image Platform optimized for ecommerce, personalization, and recommendation use cases. Ensure the platform is multi-tenant and cloud-native, supporting a broad range of business needs.
• Scalability & Performance: Architect the platform to handle millions of real-time requests with low latency and high availability. Implement best practices for high performance and reliability in a cloud environment.
• Generative AI Models: Drive the development and integration of generative models (e.g., GANs, diffusion models) tailored for ecommerce and personalized content generation.
• SaaS Development: Oversee the full lifecycle of a SaaS platform, ensuring modular design, secure multi-tenancy, and smooth onboarding for diverse clients across the personalization and recommendation domains.
• Cross-functional Collaboration: Work closely with product managers, data scientists, and engineers to translate business requirements into technical solutions, driving innovation in personalized image creation and ecommerce experiences.
• Data Analysis & Insights: Leverage advanced data analysis to extract insights from platform usage, model performance, and customer behavior. Use this data to inform model improvements, feature development, and overall platform enhancements.
• Cloud Infrastructure: Design cloud-native solutions leveraging technologies such as Kubernetes, microservices, and serverless architecture to enable seamless scaling and cost efficiency.
• Leadership & Mentorship: Provide technical leadership and mentorship to engineering teams, guiding best practices in software engineering, model development, and cloud infrastructure.
• Thought Leadership: Contribute to the industry through publications, conference talks, or meetups focused on scalable machine learning systems, generative AI, and cloud-native architectures.

What you'll bring:

• Master’s or PhD in Computer Science, Machine Learning, or related field.
• 8+ years of experience in designing an