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Walmart

Staff Machine Learning Engineer

Walmart

. Architect and lead development of scalable, production-grade ML systems .

Posted 10/13/2026full-timeSunnyvale • California • United StatesLead💰 $130,000 - $338,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting and leading the development of scalable machine learning systems, with a strong focus on the end-to-end ML lifecycle, MLOps practices, and integration into financial processes. Proficient in deep learning, natural language processing, and model optimization, while also mentoring teams and influencing architectural decisions.

Highest-signal resume keywords
End-To-End ML Lifecycle ManagementScalable Machine Learning Systems ArchitectureTensorFlowDeep LearningMLOps Best Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Machine Learning EngineeringAI SystemsPythonSQLJavaNeural NetworksHyperparameter OptimizationModel ValidationFeature EngineeringModel Training
Soft Skills
Critical ThinkingTechnical WritingMentoring
Tools & Technologies
TensorFlowPyTorchScikit-learn
Industry Keywords
MLOpsNLPReinforcement LearningFinancial ReconciliationDigital Accessibility

Tech Stack

Tools & technologies
JavaPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact
  • Architect and lead development of scalable, production-grade ML systems
  • Execute the end-to-end ML lifecycle, including data sourcing, feature engineering, model training, deployment, and monitoring
  • Integrate machine learning systems into customer/associate-facing and operational products
  • Translate complex business challenges into technical strategies, platform requirements, and success metrics
  • Champion MLOps practices, including CI/CD pipelines, model versioning, drift detection, and performance telemetry
  • Drive innovation in deep learning, NLP, reinforcement learning, and multimodal modeling
  • Mentor engineers and data science teams
  • Influence architectural decisions and promote engineering excellence
  • Collaborate cross-functionally to align ML solutions with platform strategies and ensure scalability
  • Develop AI and ML solutions for financial processes, including anomalous sales posting, cash loss management, and financial reconciliation

Requirements

What you’ll need
  • 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; OR 6 years’ experience in software engineering, machine learning engineering, AI systems or related area
  • Strong expertise in end-to-end ML lifecycle management
  • Extensive experience architecting scalable, production-grade machine learning systems and platforms
  • Proficiency with TensorFlow, PyTorch, Scikit-learn, Python, SQL, and Java
  • Deep knowledge of neural networks, deep learning, natural language processing, reinforcement learning, and time series analysis
  • Hands-on experience building systems supporting agentic architectures, including memory, trace, eval, orchestration, and routing layers
  • Skill in hyperparameter optimization, model validation, and MLOps best practices
  • Excellent critical thinking and technical writing capabilities
  • Preferred: Experience with Computer Vision technologies and/or Finance domain
  • Preferred: Master’s degree in a related area and 2 years' experience in software engineering, machine learning engineering, AI systems or related area
  • Preferred: Experience with accessibility best practices, inclusive digital experiences, WCAG 2.2 AA standards, assistive technologies, and digital accessibility

Benefits

Comp & perks
  • Competitive pay
  • Performance-based bonus awards
  • Medical, vision, and dental coverage
  • 401(k)
  • Stock purchase
  • Company-paid life insurance
  • Paid time off, including sick leave
  • Parental leave
  • Family care leave
  • Bereavement leave
  • Jury duty leave
  • Voting leave
  • Short-term disability
  • Long-term disability
  • Company discounts
  • Military Leave Pay
  • Adoption and surrogacy expense reimbursement
  • PTO and/or PPTO for vacation, sick leave, holidays, or other purposes
  • Live Better U education benefit: Walmart-paid high school completion, bachelor's degree, English Language Learning, and short-form certificate programs
  • Tuition, books, and fees completely paid by Walmart
  • Stock may be included as additional compensation for certain positions