(USA) Senior, Machine Learning Engineer

Walmart • Bentonville, AR

3d • Onsite

About The Position

Walmart is seeking a Senior Machine Learning Engineer to design, develop, and deliver scalable ML solutions that address complex business challenges. This role involves collaborating with cross-functional teams to help implement, test, and maintain ML models and pipelines while ensuring compliance with security and governance standards. The successful candidate will lead technical efforts across the ML lifecycle, including feature engineering, model evaluation, deployment, and monitoring. They will also drive innovation, and uphold high standards of quality and integrity to support Walmart’s mission of delivering value to customers and stakeholders.

About the team: The Walmart team combines expertise in data science and computer vision to drive innovation with a strong emphasis on safety and security. They focus on fraud prevention, threat detection, and digital risk management while supporting cloud transformation efforts. Leveraging advanced analytics and data-driven insights, the team enhances decision-making and operational reliability. Collaboration and continuous improvement are central to their approach, fostering a culture committed to accuracy, security, and sustainable growth across the organization. This team plays a key role in maintaining a secure environment and stakeholder confidence through technical excellence and innovation.

Requirements

• Proven expertise in designing, developing, and deploying scalable machine learning pipelines using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Strong proficiency in programming languages including Python, SQL, Java, C++, or R for production-ready ML applications.
• Experience with MLOps practices including CI/CD, model versioning, automated retraining, and telemetry to ensure model reliability and performance.
• Ability to implement secure, compliant ML pipelines adhering to enterprise AI governance standards.
• Skilled in model evaluation, hyperparameter optimization, and monitoring to maintain accuracy and performance.
• Demonstrated technical leadership, mentoring, and collaboration across cross-functional teams.
• Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years’ experience in software engineering, machine learning engineering, AI systems or related area.
• OR 5 years’ experience in software engineering, machine learning engineering, AI systems or related area.

Nice To Haves

• Familiarity with cloud-native architectures and platform design for ML solutions.
• NVidia Deepstream architecture is a plus.
• Master’s degree in computer science, computer engineering, computer information systems, software engineering, or related area and 1 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

• Collaborate with CV scientists, data scientists, and product teams to deliver machine learning pipelines and model integrations.
• Design and develop scalable ML systems using appropriate algorithms and frameworks.
• Implement, test, and support ML services, APIs, and data pipelines ensuring quality and reliability.
• Apply MLOps practices including CI/CD, model versioning, and automated retraining for sustained performance.
• Conduct rigorous model evaluation, monitoring, and maintenance to address drift and performance issues.
• Mentor team members on coding standards, pipeline best practices, and model evaluation techniques.
• Ensure ML solutions comply with security, privacy, and enterprise governance standards.
• Participate in technical discussions to enhance system scalability, maintainability, and compliance.

Benefits

• 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
• Live Better U (Walmart-paid education benefit program for full-time and part-time associates)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior