Senior, Machine Learning Engineer

Position Summary...The Senior Machine Learning Engineerwillleadthedesign ,development,anddeploymentofscalablemachinelearningsolutionsthataddresscomplexbusinesschallenges,withaprimaryfocusonbuildingauto-researchcapabilitiesthatautomatemodeltrainingoptimization,experimentation,andevaluationtoacceleratetheMLdevelopmentlifecycle.

Thisrolerequirescollaborationwithcross-functionalteamstodeliverrobust,production-readymodelsanddatapipelineswhileensuringcompliancewithsecurityandgovernancestandards.

Additionally,theywillprovidetechnicalleadership,mentorpeers,anddrivecontinuousimprovementtoenhancesystemreliabilityandinnovationalignedwithorganizationalgoals.

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.

What you'll bring:

• Proven expertise in designing, developing, and deploying scalable machine learning systems using frameworks such as Tensor Flow, 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 Auto Research 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.

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…