Principal, Machine Learning Engineer

Position Summary…

As a Principal 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 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 and customer experiences.

Our team develops and scales AI-driven pricing solutions that enable faster, smarter, and consistent pricing decisions across Walmart. We apply data science, machine learning, causal inference, and optimization techniques to deliver capabilities such as price recommendations, markdown optimization, price anomaly detection, and elasticity modeling. These efforts support Walmart’s Every Day Low Price commitment by enhancing pricing effectiveness and operational efficiency  team fosters innovation and collaboration to build robust, scalable machine learning systems that drive impactful business outcomes across the organization.

• Architect and guide scalable, production-grade machine learning systems integrated into customer-facing and operational products.
• Translate complex business challenges into actionable technical strategies, platform requirements, and success metrics.
• Lead end-to-end ML lifecycle execution, including data sourcing, feature engineering, model training, deployment, and monitoring.
• Champion advanced MLOps practices such as CI/CD pipelines, model versioning, drift detection, and performance telemetry.
• Drive innovation in applied ML, including deep learning, NLP, reinforcement learning, and multimodal modeling approaches.
• Mentor engineers, influence architectural decisions, and promote engineering excellence across teams.
• Collaborate cross-functionally to align ML solutions with platform strategies and ensure sustainable scalability.

• Extensive experience architecting scalable, production-grade machine learning systems and platforms.
• Proficiency in advanced ML frameworks such as Tensor Flow, PyTorch, Scikit-learn, and languages including Python, SQL, and Java.
• Strong expertise in end-to-end ML lifecycle management, including feature engineering, model training, deployment, and monitoring.
• Deep knowledge of neural networks, deep learning, natural language processing, reinforcement learning, and time series analysis.
• Proven ability to lead technical strategy, mentor engineers, and influence cross-functional collaboration.
• Skilled in hyperparameter optimization, model validation, and MLOps best practices.
• Excellent critical thinking and technical writing capabilities to communicate complex concepts clearly.

• 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,  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…