(USA) Senior, Machine Learning Engineer

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. What you’ll do:

• 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.

• 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.
• Familiarity with cloud-native architectures and platform design for ML solutions, NVidia Deepstream architecture is a plus., 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 3 years’ experience in software engineering, machine learning engineering, AI systems or related area. Option 2: 5 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 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.

Pulled from the full job description

• Military leave
• Parental leave
• 401(k)
• Health insurance
• Paid time off
• Vision insurance

• Dental insurance, 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 https://one.walmart.com/notices. 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. The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :

• Stock