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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # (USA) Staff, Machine Learning Engineer - **Company:** Wal-Mart Stores, Inc. - **Location:** Sunnyvale, CA, United States - **Experience:** Experienced - **Salary:** $130,000.0 - $260,000.0 - **Contract:** Permanent contract - **Skills:** Adobe Analytics, Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Engineering, Computer Engineering, Continuous Integration, Information Engineering, Data Structures, Distributed Systems, Python (Programming Language), Machine Learning, NoSQL, Systems Development Life Cycle, Software Engineering, SQL Databases, Management of Software Versions, Web Content Accessibility Guidelines, Large Language Models, Agentic-AI, AutoML, Real-time Inference, Information Technology, Low Latency, Data Management, Machine Learning Operations - **Published:** October 31, 2026 - **Apply:** https://www.jofdav.com/jobs/60353796-usa-staff-machine-learning-engineer ## About the Role * Strong software engineering fundamentals with proficiency in Python, SQL, system design, testing, CI/CD, and production operations. * Extensive experience designing and operating large-scale ML systems across training, evaluation, batch and real-time inference, monitoring, and continuous improvement. * Strong understanding of MLOps, distributed systems, cloud-native architectures, APIs, containers, and relational/NoSQL data platforms. * Experience building reusable ML infrastructure, frameworks, and observability capabilities. * Strong foundation in algorithms, data structures, and machine learning methods. * Experience with LLM and agentic systems, including retrieval, tool calling, orchestration, and evaluation. * Ability to balance model quality, latency, throughput, reliability, scalability, maintainability, and cost effectively. * Demonstrated technical leadership, mentorship, and effective cross-functional communication., 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 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... 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 2 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. ## Description Role summary: As a Staff Machine Learning Engineer at Walmart, you will lead the design and deployment of scalable, production-grade ML solutions that address critical business challenges. This role involves overseeing the full ML lifecycle, from data engineering to model monitoring, while driving platform alignment and operational excellence across cloud environments. You will provide technical leadership, mentor engineering teams, and foster innovation through advanced techniques such as AutoML and NLP. Your expertise will ensure robust, maintainable systems that deliver measurable impact, supporting Walmart's commitment to continuous improvement and technical excellence. About the team: Walmart Data Ventures powers the data and AI platform supporting the world's largest retailer's suppliers. The Walmart Scintilla team transforms extensive data into actionable insights, recommendations, and innovations that enhance customer, merchant, and supplier outcomes. This team leads advancements in generative AI, agentic intelligence, machine learning, measurement, and causal inference to redefine retail experiences, optimize operations, and develop new business models. Joining this team offers the opportunity to lead cutting-edge AI initiatives that set industry standards and drive significant impact across the retail ecosystem. What you'll do: * Lead design and delivery of scalable, production-grade ML and AI systems. * Translate business problems into technical requirements, architectures, and measurable success criteria. * Productionize DS prototypes across batch, real-time, and agentic workloads. * Own ML lifecycle, SDLC, CI/CD, versioning, testing, deployment, evaluation, observability, and monitoring. * Design systems balancing model quality, latency, throughput, reliability, scalability, maintainability, and cost. * Build reusable ML infrastructure, frameworks, and platform capabilities. * Lead production LLM/agentic systems including retrieval, tool calling, orchestration, and state management. * Establish offline and online evaluation practices to detect regressions, drift, quality degradation, and production failure modes. * Drive architecture reviews, engineering standards, mentorship, and continuous innovation.