Walmart Inc.
What you’ll do
ML System Architecture & Delivery
Lead the design and implementation of scalable, production‑grade ML solutions that address business‑critical needs. Translate complex or ambiguous problem statements into clear technical requirements, architectural designs, and success metrics. Select and integrate appropriate ML frameworks (Scikit‑learn, TensorFlow, PyTorch, XGBoost, Spark ML) and coding languages (Python, SQL, Java, C, R) to meet performance, explainability, and maintainability standards. Drive platform alignment by ensuring solutions leverage and contribute to Walmart’s shared ML infrastructure and tooling.
End‑to‑End ML Lifecycle Execution Oversee and contribute to all phases of the ML lifecycle: data sourcing, feature engineering, model training, deployment, monitoring, and continuous improvement. Apply MLOps best practices such as CI/CD for ML, automated training pipelines, model versioning, and telemetry‑based monitoring. Implement robust evaluation frameworks for model performance, data quality, and fairness, ensuring compliance with responsible AI principles.
ML Platform Engineering & Operations Build and maintain reusable infrastructure components, including feature stores, model runtimes, SDKs, and workflow orchestration systems. Manage large‑scale ML operations across cloud environments (AWS, Google Cloud Platform, Azure), leveraging containerization, Kubernetes, and workflow automation. Implement observability tooling to track model behavior, detect drift, and ensure high availability and low latency in production environments.
Technical Leadership & Mentorship Provide hands‑on mentorship to engineers, guiding them through architectural decisions, implementation details, and debugging complex ML issues. Set and enforce engineering standards for code quality, testing, deployment, and operational excellence. Foster a culture of technical depth, peer learning, and collaboration across teams.
Experimentation & Innovation Design and manage experimentation pipelines for hypothesis testing, A/B experiments, and continuous model iteration. Explore advanced techniques such as AutoML, neural architecture search, domain‑specific NLP tooling, and multimodal architectures to accelerate solution delivery. Share innovations and learnings through technical documentation, presentations, and cross‑team forums to elevate Walmart’s ML engineering practices.
Additional Responsibilities Technical ownership, judgment, and change agility, collaboration, continuous improvement, cross‑functional execution, and support of company policies and community outreach. Act with integrity, serve customer and members, and strive for excellence across all initiatives.
Minimum Qualifications
Option 1: Bachelor’s degree in computer science, computer engineering, computer information systems, software engineering, or related field 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 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. Valuable experience creating inclusive digital experiences, implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility in products and services.
Compensation & Benefits The annual salary range is $169,000.00 – $338,000.00, with additional annual or quarterly performance bonuses. Benefits include medical, vision and dental coverage; 401(k) and company‑paid life insurance; paid time off (PTO, parental leave, family care leave, etc.); short‑term and long‑term disability; company discounts; military leave pay; adoption and surrogacy expense reimbursement; and more. Live Better U is a Walmart‑paid education benefit program covering tuition, books, and fees for full‑time and part‑time associates.
Primary Location 1395 Crossman Ave, Sunnyvale, CA 94089‑1114, United States of America.
Walmart and its subsidiaries are committed to maintaining a drug‑free workplace and have a no‑tolerance policy regarding the use of illegal drugs and alcohol on the job.
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End‑to‑End ML Lifecycle Execution Oversee and contribute to all phases of the ML lifecycle: data sourcing, feature engineering, model training, deployment, monitoring, and continuous improvement. Apply MLOps best practices such as CI/CD for ML, automated training pipelines, model versioning, and telemetry‑based monitoring. Implement robust evaluation frameworks for model performance, data quality, and fairness, ensuring compliance with responsible AI principles.
ML Platform Engineering & Operations Build and maintain reusable infrastructure components, including feature stores, model runtimes, SDKs, and workflow orchestration systems. Manage large‑scale ML operations across cloud environments (AWS, Google Cloud Platform, Azure), leveraging containerization, Kubernetes, and workflow automation. Implement observability tooling to track model behavior, detect drift, and ensure high availability and low latency in production environments.
Technical Leadership & Mentorship Provide hands‑on mentorship to engineers, guiding them through architectural decisions, implementation details, and debugging complex ML issues. Set and enforce engineering standards for code quality, testing, deployment, and operational excellence. Foster a culture of technical depth, peer learning, and collaboration across teams.
Experimentation & Innovation Design and manage experimentation pipelines for hypothesis testing, A/B experiments, and continuous model iteration. Explore advanced techniques such as AutoML, neural architecture search, domain‑specific NLP tooling, and multimodal architectures to accelerate solution delivery. Share innovations and learnings through technical documentation, presentations, and cross‑team forums to elevate Walmart’s ML engineering practices.
Additional Responsibilities Technical ownership, judgment, and change agility, collaboration, continuous improvement, cross‑functional execution, and support of company policies and community outreach. Act with integrity, serve customer and members, and strive for excellence across all initiatives.
Minimum Qualifications
Option 1: Bachelor’s degree in computer science, computer engineering, computer information systems, software engineering, or related field 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 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. Valuable experience creating inclusive digital experiences, implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility in products and services.
Compensation & Benefits The annual salary range is $169,000.00 – $338,000.00, with additional annual or quarterly performance bonuses. Benefits include medical, vision and dental coverage; 401(k) and company‑paid life insurance; paid time off (PTO, parental leave, family care leave, etc.); short‑term and long‑term disability; company discounts; military leave pay; adoption and surrogacy expense reimbursement; and more. Live Better U is a Walmart‑paid education benefit program covering tuition, books, and fees for full‑time and part‑time associates.
Primary Location 1395 Crossman Ave, Sunnyvale, CA 94089‑1114, United States of America.
Walmart and its subsidiaries are committed to maintaining a drug‑free workplace and have a no‑tolerance policy regarding the use of illegal drugs and alcohol on the job.
#J-18808-Ljbffr