The Principal, Machine Learning Engineer will lead the design and development of scalable, production-grade ML systems that address complex business challenges. This role involves architecting end-to-end ML pipelines, driving innovation in advanced modeling techniques, and ensuring robust deployment and monitoring practices. The position requires collaboration with cross-functional teams to align ML solutions with organizational goals while mentoring technical staff and promoting engineering excellence. The successful candidate will apply sound technical judgment, foster continuous improvement, and contribute to Walmart’s reputation through technical leadership and knowledge sharing.
About the team:
The International Recommendations Platform team develops a multi-tenant framework delivering personalized experiences across Walmart International sites. The team pioneers innovation in Machine Learning and AI to improve customer engagement and business outcomes. Utilizing cloud-native architecture and software design patterns, members build scalable, resilient solutions. Collaboration is key, focusing on API design, system reviews, and data-driven decisions. The team emphasizes continuous improvement through DevOps engineering and software prototyping, ensuring accelerated delivery and high-quality standards in a dynamic environment. This environment fosters technical excellence and impactful innovation.
What you'll do:
- Architect and guide the development of scalable, production-grade machine learning systems integrated into customer-facing and operational products.
- Lead end-to-end ML lifecycle execution, including data sourcing, feature engineering, model training, deployment, and monitoring.
- Drive innovation in applied ML through advanced modeling techniques such as deep learning, NLP, reinforcement learning, and multimodal approaches.
- Mentor engineering teams, influence architectural decisions, and promote technical excellence across ML disciplines.
- Collaborate cross-functionally to align ML solutions with platform strategies and ensure seamless integration with downstream applications.
- Establish standards for model evaluation, fairness, and responsible AI compliance.
- Publish technical insights and contribute to Walmart’s engineering knowledge base.
What you'll bring:
- Extensive experience designing and architecting scalable, production-grade machine learning systems aligned with business objectives.
- Proficiency in ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and programming languages including Python, Java, and SQL.
- Expertise in end-to-end ML lifecycle management, including data sourcing, feature engineering, model training, deployment, and monitoring.
- Strong background in advanced modeling techniques, including deep learning, NLP, reinforcement learning, and time series analysis.
- Demonstrated ability to lead technical strategy, mentor engineers, and influence cross-functional collaboration.
- Skilled in ML model validation, hyperparameter optimization, and MLOps best practices.
- Excellent critical thinking and technical writing capabilities to communicate complex concepts clearly.
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.
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 5 years’ experience in software engineering, machine learning engineering, AI systems or related area.Option 2: 7 years’ experience in software engineering, machine learning engineering, AI systems or related area.
2 years’ supervisory experience.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, 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...815 Eleventh Ave, Sunnyvale, CA 94089-4731, 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 5 years of experience in software engineering, machine learning engineering, AI systems, or a related area
- 7 years of experience in software engineering, machine learning engineering, AI systems, or a related area
- 2 years of supervisory experience
- Master's degree in computer science, computer engineering, computer information systems, software engineering, or a related area, plus 3 years of relevant experience
- Prior experience with accessibility best practices
- Experience creating inclusive digital experiences and implementing WCAG 2.2 AA standards and assistive technologies
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
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.








