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 and deploying large-scale machine learning systems, with at least 2 years focused on generative AI and cloud-native platforms.
• Deep expertise in building SaaS solutions, including multi-tenant architectures, API design, and security best practices.
• Proven experience in scaling platforms to handle millions of requests, with strong knowledge of distributed systems, cloud infrastructure, and high availability patterns.
• Strong proficiency in generative AI techniques (GANs, diffusion models) and their application in personalization and recommendation systems.
• Experience with cloud platforms (GCP, Azure), container orchestration (Kubernetes), and microservices architecture.
• Excellent leadership, communication, and collaboration skills, with a track record of leading high-performing technical teams.

Preferred Experience:

• Prior experience in ecommerce systems, with a deep understanding of personalization and recommendation systems.
• Hands-on experience with deploying and maintaining AI models in production, including model monitoring and automated retraining workflows.
• Active participation in relevant conferences and industry forums with a focus on scalable ML systems and generative AI.

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 expert's 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:
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.

The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

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You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.

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For information about PTO, see https://one.walmart.com/notices.

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Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

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Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

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For information about benefits and eligibility, see One.Walmart.

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The annual salary range for this position is $143,000.00-$286,000.00

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Additional compensation includes annual or quarterly performance bonuses.

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Additional compensation for certain positions may also include:

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- Stock

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and5 years’ experience in software engineering or related area.
Option 2: 7 years’ experience in software engineering or related area.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Master’s degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years' experience in software engineering or related area., We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Primary Location...

680 West California Avenue, Sunnyvale, CA 94086-4834, United States of America