(USA) Staff, Machine Learning Engineer

Reference: R-2666096Posted: 2026-10-13Location: SUNNYVALE, CA, United States; BENTONVILLE, ARSalary: $130000 - $260000/yearType: Full time / Regular/PermanentCompany: WalmartBusiness Segment: Home OfficePosition Summary... As a Staff Machine Learning Engineer, you will architect and lead the development of scalable, production-grade ML systems that address complex business challenges. This role requires designing robust ML architectures, driving innovation in advanced modeling techniques, and overseeing the full ML lifecycle from data sourcing to deployment and monitoring. You will provide technical leadership, mentor engineering and data science teams, and collaborate cross-functionally to ensure alignment with platform strategies. Your expertise will advance Walmart’s ML capabilities, delivering impactful solutions that enhance operational efficiency, customer and associate experiences About the team At FinTech, our team develops and scales AI and ML driven solutions for Finance enabling faster, smarter, more consistent and precise month end close process. We apply machine learning, statistical techniques, forecasting, computer vision and optimization techniques to solve complex financial challenges including anomalous sales posting, cash loss management, financial reconciliation and proactive insights through agentic tools. Our solutions span predictive AI, agentic AI, and perception AI through computer vision. The team combines deep technical expertise with strong business partnership to build robust, scalable systems that improve financial accuracy, operational efficiency, and decision-making across the organization. What you'll do... Architect and guide scalable, production-grade machine learning systems integrated into customer/associate facing products. Lead end-to-end ML lifecycle execution, including data sourcing, feature engineering, model training, deployment, and monitoring. Partner with cross-functional teams to align ML solutions with broader platform strategies, ensuring effective integration, scalability, and long-term sustainability. Design and build scalable, reliable infrastructure for deploying and serving computer vision models, leveraging containerization, GPU orchestration, and inference optimization frameworks such as NVIDIA TensorRT. Drive end-to-end performance benchmarking, capacity planning, and cost optimization of ML workloads. Partner with MLOps and infrastructure teams to establish best practices for GPU utilization, model serving, monitoring, and production reliability. Champion advanced MLOps practices such as CI/CD pipelines, model versioning, drift detection, and performance telemetry. Mentor engineers, influence architectural decisions, and promote engineering excellence across teams. Evaluate emerging infrastructure patterns, model paradigms and platform capabilities into a forward-looking roadmap. What you'll bring: Extensive experience architecting scalable, production-grade machine learning systems and platforms. Hands-on experience designing, developing, and deploying computer vision solutions, including object detection, multi-object tracking, action recognition, and video analytics, using deep learning architectures and frameworks such as PyTorch, OpenCV, and YOLO. Proven experience building and optimizing end-to-end computer vision pipelines, including video preprocessing, model training, fine-tuning, GPU-accelerated inference, and deployment, with a focus on accuracy, latency, throughput, and scalability. Deep knowledge of neural networks, deep learning, natural language processing, reinforcement learning, and time series analysis. Hands-on experience building systems that support advanced agentic architectures, such as memory, trace, eval, orchestration and routing layers for complex model systems. Proven ability to lead technical strategy, mentor engineers, and influence cross-functional collaboration. Excellent critical thinking and technical writing capabilities to communicate complex concepts clearly. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see . Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. 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. Sunnyvale, California US-11789: The annual salary range for this position is $169,000.00 - $338,000.00 Bentonville, Arkansas US-09050: The annual salary range for this position is $130,000.00 - $260,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : - StockMinimum 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["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.", "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."]