- Identify and evaluate data sources aligned with business requirements and quality standards.
- Design, implement, and scale high-throughput SFT pipelines to train foundation models for instruction following, ranking, and related tasks.
- Manage high-quality dataset mixtures and optimize training hyperparameters, including learning rate schedules and other training configurations.
- Drive model alignment toward helpfulness, accuracy, and safety through preference optimization techniques and reinforcement learning approaches.
- Create clear, insightful visualizations to effectively communicate findings and recommendations to stakeholders.
- Translate complex business challenges into data-driven solutions and actionable insights.
- Collaborate with cross-functional teams to deploy, monitor, and improve machine learning models in production environments.
- Mentor junior team members on analytical methodologies, coding best practices, machine learning techniques, and data storytelling.
- Proven expertise in data science, including predictive analytics, machine learning algorithms, statistical modeling, and hypothesis testing.
- Strong programming skills in Python and experience with data visualization tools such as Matplotlib, Plotly, Tableau, or Power BI.
- Hands-on experience designing, training, and deploying machine learning models, with a focus on transformer-based architectures and large language models.
- Experience optimizing large-scale training pipelines, including hyperparameter tuning and implementing high-throughput workflows using frameworks such as PyTorch.
- Experience applying reinforcement learning methods (e.g., RLHF) for preference optimization, model alignment, and safety-focused applications.
- Demonstrated ability to translate complex business requirements into analytical models and actionable business insights.
- Excellent verbal and written communication skills, with the ability to present technical findings effectively to both technical and non-technical stakeholders.
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 $143,000.00 - $286,000.00 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: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related fieldPreferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), 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...1345 Crossman Ave, Sunnyvale, CA 94089-1114, 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
- Bachelors in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field plus 4 years' analytics experience OR Masters plus 2 years' analytics experience OR 6 years' analytics or related experience.
- Proven expertise in data science including predictive analytics, machine learning algorithms, statistical modeling, and hypothesis testing.
- Strong programming skills in Python and experience with data visualization tools such as Matplotlib, Plotly, Tableau, or Power BI.
- Hands-on experience designing, training, and deploying machine learning models, with focus on transformer-based architectures and large language models.
- Experience optimizing large-scale training pipelines, including hyperparameter tuning and implementing high-throughput workflows using frameworks such as PyTorch.
- Experience applying reinforcement learning methods (e.g., RLHF) for preference optimization, model alignment, and safety-focused applications.
- Ability to translate complex business requirements into analytical models and actionable insights; strong verbal and written communication skills.
- Mentor junior team members on analytical methodologies, coding best practices, machine learning techniques, and data storytelling.
- PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
- Completion of assessments or experience with Python, Spark, Scala, or R.
- Experience using open source ML frameworks (scikit-learn, TensorFlow, Torch/PyTorch).
- Knowledge or experience implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA and accessibility best practices.
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.






