(USA) Senior, Machine Learning Engineer

The Senior Machine Learning Engineer will lead the design, development, and deployment of scalable machine learning solutions that address complex business challenges, with a primary focus on building auto-research capabilities that automate model training optimization, experimentation, and evaluation to accelerate the ML development lifecycle. This role requires collaboration with cross-functional teams to deliver robust, production-ready models and data pipelines while ensuring compliance with security and governance standards. Additionally, they will provide technical leadership, mentor peers, and drive continuous improvement to enhance system reliability and innovation aligned with organizational goals.

About the team:

Our team develops foundational models tailored for Walmart’s e-commerce platform by leveraging large-scale user interactions to create rich representations of users, products, and search queries. These models enable scalable search, advertising, recommendation, and personalization solutions. Team members apply expertise in data science, machine learning, and software engineering to optimize model performance, training, and deployment. With a strong focus on data quality, advanced analytics, and impactful visualization, the team delivers actionable insights that influence key business outcomes. Cross-functional collaboration drives innovation and continuous improvement in a dynamic technology environment.

What you’ll do…

• Collaborate with engineers, data scientists, and product teams to deliver machine learning features and models.
• Design and develop auto-research capabilities that automate model training, optimization, experimentation, and evaluation, enabling AI agents to iteratively tune hyperparameters and run experiments against defined objective metrics.
• Surface the best-performing models with minimal manual intervention, accelerating the overall machine learning development lifecycle.
• Implement, test, and support machine learning services, APIs, and data pipelines, ensuring quality and reliability.
• Apply MLOps practices, including CI/CD, model versioning, and automated retraining, to sustain performance.
• Conduct rigorous model evaluation, monitoring, and maintenance to address model drift and performance issues.
• Ensure secure, compliant machine learning engineering aligned with enterprise AI governance standards.

• Proven expertise in designing, developing, and deploying scalable machine learning systems using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Strong proficiency in programming languages including Python, SQL, Java, and C++ to build production-ready machine learning applications.
• Hands-on experience operating agentic or autonomous research systems.
• Experience running automated experimentation against defined objective metrics through AutoResearch loops.
• Experience with machine learning lifecycle management, including data sourcing, feature engineering, model training, evaluation, deployment, and monitoring.
• Knowledge of MLOps practices such as CI/CD, model versioning, automated retraining, and telemetry to ensure system reliability.
• Ability to implement secure, compliant machine learning pipelines that adhere to enterprise AI governance standards. Demonstrated collaboration and mentorship capabilities within cross-functional teams to drive technical excellence. *, 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.

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 $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :

• Stock

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.