(USA) Staff, Machine Learning Engineer
About The Position
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: The FinTech team develops and scales AI and ML solutions that enhance financial processes, enabling faster and more accurate month-end close activities. Utilizing machine learning, statistical methods, forecasting, computer vision, and optimization, the team addresses complex challenges such as anomalous sales posting, cash loss management, and financial reconciliation. Their work spans predictive, agentic, and perception AI, combining deep technical expertise with strong business collaboration. The team builds robust, scalable systems that improve financial accuracy, operational efficiency, and decision-making across the organization, driving innovation and continuous improvement in financial technology solutions.
Requirements
- Strong expertise in end-to-end ML lifecycle management, including feature engineering, model training, deployment, and monitoring.
- Extensive experience architecting scalable, production-grade machine learning systems and platforms.
- Proficiency in advanced ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and languages including Python, SQL, and Java.
- 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.
- Skilled in hyperparameter optimization, model validation, and MLOps best practices.
- 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.
- OR 6 years’ experience in software engineering, machine learning engineering, AI systems or related area.
Nice To Haves
- Experience with Computer Vision technologies and/or Finance domain.
- Excellent critical thinking and technical writing capabilities to communicate complex concepts clearly.
- 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.
Responsibilities
- Build end-to-end ML lifecycle execution, including data sourcing, feature engineering, model training, deployment, and monitoring.
- Architect and guide scalable, production-grade machine learning systems integrated into customer/associate facing and operational products.
- Translate complex business challenges into actionable technical strategies, platform requirements, and success metrics.
- 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.
Benefits
- Competitive pay
- Performance-based bonus awards
- Medical coverage
- Vision coverage
- Dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- PTO (including sick leave)
- Parental leave
- Family care leave
- Bereavement
- Jury duty
- Voting
- Short-term disability
- Long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
