Staff, Software Engineer, Machine Learning

Position Summary: As a company, Walmart primarily generates revenue through advertising, and we're working towards building a massive business to fund our mission. The Display Ads ML team builds services that enable advertisers to efficiently capture and predict user engagement while minimizing their costs. The team leverages machine learning models to incorporate advertisers’ goals in auction ranking, allowing them to maximize installs, key conversions, or return on ad spend. As the primary owners of the engagement prediction and bid recommendation systems, the team is responsible for a central part of the ads delivery system that generates bid recommendations considering advertiser objectives and user engagement scores. Given the centrality of this system, the team also regularly conducts highly rigorous and controlled experiments to measure the impact of improvements to these systems. Some of the project highlights include maximizing conversions campaign optimization, which uses real-time data to meet advertisers’ key objectives. As a Staff Machine Learning Engineer, you will work closely with technical leaders to build new advertiser optimization products that significantly increase the efficiency and ROI for the advertisers. What you'll do: You will be responsible for the quality and technical approach within the team; partner with other leads in direction setting, planning, and overseeing engineering designs and executions; establish and contribute to the group’s culture and processes. You will collaborate with cross-functional engineering, product, and marketing teams to ensure that our customers’ voices are represented in your work. You will design, conduct, and analyze experiments to quantify the impact of the systems that you build. We are seeking a highly skilled engineer to take a critical role in building state-of-the-art bidding optimization and user prediction systems. As a leader of this team, you will help us uplevel the capabilities of Walmart Display Ads platform through innovative optimization products that enhance advertiser value. About Team: Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. What you'll do: Set Technical Vision and Strategy: Define and execute a roadmap for engagement and bid recommendation modeling, balancing innovative modeling approaches with business objectives. Build Walmart-scale optimizations to improve advertiser outcomes using cutting-edge techniques in the industry. Drive Technical Execution: Oversee the model development lifecycle from ideation to deployment, ensuring high standards of ML performance and robustness. Lead and Mentor a High-Performing Team: Recruit, mentor, and retain top ML talent, fostering a culture of growth, collaboration, and technical excellence. Lead the team on designing new user engagement and bid optimization products and algorithms as well as conducting rigorous A/B experiments to evaluate the business impact. Collaborate Cross-Functionally: Partner with PMs, data scientists, and other engineering teams to align on engagement strategies, data requirements, and model KPIs. Innovate in ML Architecture: Implement and optimize model architectures tailored to engagement prediction, leveraging deep learning and advanced ML techniques. Think out-of-the-box! What you'll bring: 10+ years of contributing high-quality code to production systems that operate at scale. Lead/participate in the design, development and implementation of complex machine learning solutions/algorithms that drive business results leveraging Python, Nodejs, LLM, NLP Models, Chat GPT or similar platforms, scikit-learn, TensorFlow/PyTorch, Cassandra, BQ, Redis. Solved complex problems with multilayered data sets, multi-batch inferencing. Upholding ML engineering best practices - enforcing high standard for quality, reliability, and security in deployed machine learning solutions. Stay up-to-date with the latest AI/ML technologies and trends - acting as a thought leader for ML Engineering within the organization and in the broader technical community. Experience designing optimization algorithms in an ad serving platform and/or other marketplaces is preferred. 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 experts, 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 skill sets 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. Walmart’s culture is a competitive advantage, and it’s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connections rooted in deepening understanding and investing in the development of our associates. 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. 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 and 4 years’ experience in software engineering or related area. Option 2: 6 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 2 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.

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