The Role
Leads the design, deployment, and operation of scalable machine learning and AI systems. Responsibilities include productionizing models, building reusable ML infrastructure, managing the full ML lifecycle, developing LLM and agentic systems, establishing evaluation and monitoring practices, optimizing system performance and cost, and providing technical leadership, mentorship, and architectural guidance.
Summary Generated by Built In
Position Summary...What you'll do...Role summary:
As a Staff Machine Learning Engineer at Walmart, you will lead the design and deployment of scalable, production-grade ML solutions that address critical business challenges. This role involves overseeing the full ML lifecycle, from data engineering to model monitoring, while driving platform alignment and operational excellence across cloud environments. You will provide technical leadership, mentor engineering teams, and foster innovation through advanced techniques such as AutoML and NLP. Your expertise will ensure robust, maintainable systems that deliver measurable impact, supporting Walmart’s commitment to continuous improvement and technical excellence.
About the team:
Walmart Data Ventures powers the data and AI platform supporting the world’s largest retailer’s suppliers. The Walmart Scintilla team transforms extensive data into actionable insights, recommendations, and innovations that enhance customer, merchant, and supplier outcomes. This team leads advancements in generative AI, agentic intelligence, machine learning, measurement, and causal inference to redefine retail experiences, optimize operations, and develop new business models. Joining this team offers the opportunity to lead cutting-edge AI initiatives that set industry standards and drive significant impact across the retail ecosystem.
What you'll do:
What you'll bring:
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.
For information about benefits and eligibility, see One.Walmart.
Bentonville, Arkansas US-09158: The annual salary range for this position is $130,000.00 - $260,000.00
Sunnyvale, California US-11658: The annual salary range for this position is $169,000.00 - $338,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
Option 2: 6 years’ experience in software engineering, machine learning engineering, AI systems or related area.Preferred Qualifications...
As a Staff Machine Learning Engineer at Walmart, you will lead the design and deployment of scalable, production-grade ML solutions that address critical business challenges. This role involves overseeing the full ML lifecycle, from data engineering to model monitoring, while driving platform alignment and operational excellence across cloud environments. You will provide technical leadership, mentor engineering teams, and foster innovation through advanced techniques such as AutoML and NLP. Your expertise will ensure robust, maintainable systems that deliver measurable impact, supporting Walmart’s commitment to continuous improvement and technical excellence.
About the team:
Walmart Data Ventures powers the data and AI platform supporting the world’s largest retailer’s suppliers. The Walmart Scintilla team transforms extensive data into actionable insights, recommendations, and innovations that enhance customer, merchant, and supplier outcomes. This team leads advancements in generative AI, agentic intelligence, machine learning, measurement, and causal inference to redefine retail experiences, optimize operations, and develop new business models. Joining this team offers the opportunity to lead cutting-edge AI initiatives that set industry standards and drive significant impact across the retail ecosystem.
What you'll do:
- Lead design and delivery of scalable, production-grade ML and AI systems.
- Translate business problems into technical requirements, architectures, and measurable success criteria.
- Productionize DS prototypes across batch, real-time, and agentic workloads.
- Own ML lifecycle, SDLC, CI/CD, versioning, testing, deployment, evaluation, observability, and monitoring.
- Design systems balancing model quality, latency, throughput, reliability, scalability, maintainability, and cost.
- Build reusable ML infrastructure, frameworks, and platform capabilities.
- Lead production LLM/agentic systems including retrieval, tool calling, orchestration, and state management.
- Establish offline and online evaluation practices to detect regressions, drift, quality degradation, and production failure modes.
- Drive architecture reviews, engineering standards, mentorship, and continuous innovation.
What you'll bring:
- Strong software engineering fundamentals with proficiency in Python, SQL, system design, testing, CI/CD, and production operations.
- Extensive experience designing and operating large-scale ML systems across training, evaluation, batch and real-time inference, monitoring, and continuous improvement.
- Strong understanding of MLOps, distributed systems, cloud-native architectures, APIs, containers, and relational/NoSQL data platforms.
- Experience building reusable ML infrastructure, frameworks, and observability capabilities.
- Strong foundation in algorithms, data structures, and machine learning methods.
- Experience with LLM and agentic systems, including retrieval, tool calling, orchestration, and evaluation.
- Ability to balance model quality, latency, throughput, reliability, scalability, maintainability, and cost effectively.
- Demonstrated technical leadership, mentorship, and effective cross-functional communication.
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.
For information about benefits and eligibility, see One.Walmart.
Bentonville, Arkansas US-09158: The annual salary range for this position is $130,000.00 - $260,000.00
Sunnyvale, California US-11658: The annual salary range for this position is $169,000.00 - $338,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- 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 and 4 years’ experience in software engineering, machine learning engineering, AI systems or related area.Option 2: 6 years’ experience in software engineering, machine learning engineering, AI systems 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, machine learning engineering, AI systems or related area., Prior work experience in accessibility best practices., Prior work experience 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.Primary Location...2608 Se J St, Bentonville, AR 72716-3724, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.Skills Required
- Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or a related area, plus 4 years of experience in software engineering, machine learning engineering, AI systems, or a related area; alternatively, 6 years of relevant experience without the degree requirement.
- Master's degree in computer science, computer engineering, computer information systems, software engineering, or a related area, plus 2 years of relevant experience.
- Prior work experience in accessibility best practices.
- Experience implementing Web Content Accessibility Guidelines WCAG 2.2 AA standards, using assistive technologies, and integrating digital accessibility into user experiences.
Walmart Global Tech Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.
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Strong & Reliable Incentives — Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
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Retirement Support — Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
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Parental & Family Support — Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.
Walmart Global Tech Insights
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The Company
What We Do
Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.
