Base Salary
$156k - $338k/yr
Responsibilities
- Architect and lead scalable, production-grade ML systems for customer-facing personalization and recommendation experiences.
- Own technical direction across data and feature pipelines, model training, evaluation, deployment, inference, serving, monitoring, retraining, and lifecycle management.
- Design high-performance batch and real-time ML architectures balancing quality, latency, throughput, scalability, reliability, maintainability, and cost.
- Translate model prototypes and experimentation into scalable, maintainable production systems with Data Scientists and ML practitioners.
- Establish engineering practices for deployment, feature management, reproducibility, automated testing, observability, model performance monitoring, and drift detection.
- Build reusable ML capabilities, services, and infrastructure that accelerate adoption across teams.
- Define technical strategies for complex ML problems and influence architecture and engineering decisions across multiple teams.
- Mentor senior technical talent, raise engineering standards, and provide technical leadership across the ML engineering community.
Requirements
- Bachelor’s degree in computer science, computer engineering, computer information systems, software engineering, or a related area plus five years of relevant experience, or seven years of relevant experience without the degree requirement.
- Two years of supervisory experience.
- Extensive experience designing, building, deploying, and operating large-scale machine learning systems in production.
- Strong software engineering fundamentals and proficiency in Python.
- Experience with production ML frameworks such as PyTorch, TensorFlow, Scikit-learn, XGBoost, or comparable technologies.
- Expertise in recommendation and ranking, deep learning, representation learning, NLP, reinforcement learning, or related advanced ML techniques.
- Experience designing scalable batch or real-time training, inference, and feature-serving architectures.
- Understanding of distributed systems, APIs and services, cloud-native architectures, and scalable data processing.
- Experience with ML pipelines, CI/CD, model and data versioning, testing, observability, performance monitoring, and drift detection.
- Experience deploying production ML systems on cloud platforms such as GCP or Azure.
- Ability to establish technical direction, influence architecture, drive complex initiatives, mentor engineers, and communicate complex concepts clearly.
- Preferred qualifications include a master’s degree in a relevant field plus three years of relevant experience, accessibility best practices, inclusive digital experiences, WCAG 2.2 AA, and assistive technologies.
Benefits
- Medical, vision, and dental coverage.
- 401(k), stock purchase benefits, and company-paid life insurance.
- Paid time off, including sick leave, parental leave, family care leave, bereavement, jury duty, and voting leave.
- Short-term and long-term disability, company discounts, Military Leave Pay, and adoption and surrogacy expense reimbursement.
- PTO and/or PPTO may be used for vacation, sick leave, holidays, or other purposes, subject to classification and tenure.
- Walmart-paid education benefits through Live Better U, including tuition, books, and fees for eligible programs from high school completion through bachelor’s degrees and certificates.
- Annual or quarterly performance bonuses and possible stock compensation.
- The position is located in Sunnyvale, California or Bellevue, Washington.
Tech Stack
Categories
About Walmart
More than 60 years ago, Sam Walton opened the first Walmart in Rogers, Arkansas. Today, we’re a people-led, tech-powered omnichannel retailer dedicated to helping people save money and live better all around the world. Our 2.1 million associates are the engine behind what we do — serving customers and members in communities spanning 19 countries, in stores and clubs, online and through a supply chain built for speed and scale. We’re committed to creating clear pathways for associates to learn, grow and advance. Whether you’re starting your first job or bringing years of experience, you’ll find room to grow, learn new skills and build a career with purpose. We’re proud to invest in our people and foster a culture grounded in respect, integrity, service and striving for excellence. Recognized as a Fortune 100 Best Companies to Work For® (2025) and Great Place To Work®-Certified™ , we’re proud of what we’re building together.