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# (USA) Senior, Machine Learning Engineer

- **Company:** Wal-Mart Stores, Inc.
- **Location:** Sunnyvale, CA, United States
- **Experience:** Expert
- **Salary:** $143,000.0 - $286,000.0
- **Contract:** Permanent contract
- **Skills:** Adobe Analytics, Clean Code Principles, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, C++ (Programming Language), Software Quality, Computer Programming, Computer Engineering, Continuous Integration, Distributed Systems, Fault Tolerance, Python (Programming Language), Machine Learning, Language Modeling, Tensorflow, Software Engineering, SQL Databases, Web Content Accessibility Guidelines, Feature Store, Feature Engineering, Pytorch, Concurrency, Deep Learning, Model Validation, Scikit Learn, Information Technology, Optimization Algorithms, Production Code, Performance Monitor, Search Engines, Machine Learning Operations, Natural Language Understanding, Software Version Control, Data Pipelines, Programming Languages, Microservices
- **Published:** October 8, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3425121914&tx=CT3028TYV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Proven expertise in designing, developing, and deploying scalable machine learning models using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
 * Strong programming skills in Python, SQL, Java, C++, or R, with experience writing clean, production-ready code.
 * Proficiency in MLOps practices including CI/CD pipelines, model versioning, automated retraining, and monitoring for performance and drift.
 * Experience with hyperparameter optimization, model evaluation, and feature engineering to ensure robust ML solutions.
 * Ability to collaborate effectively with cross-functional teams and mentor junior engineers.
 * Knowledge of secure, compliant AI engineering and data pipeline development.
 * Familiarity with large language modeling and GPU optimization techniques., 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.

## Description

The Senior Machine Learning Engineer will lead the design, development, and deployment of scalable machine learning solutions that address complex business challenges. This role involves collaborating closely with cross-functional teams to deliver robust models, ensuring high-quality code, and maintaining reliable ML pipelines. The position requires expertise in model evaluation, MLOps practices, and secure AI engineering. The successful candidate will drive continuous improvement, mentor peers, and uphold technical excellence while aligning solutions with organizational goals and compliance standards. This role demands strong problem-solving skills and a commitment to innovation and operational resilience.

About the team:

The eCommerce Search team manages the full technology stack enabling product search and discovery across Walmart's global eCommerce platforms. Supported by microservices, extensive data and feature pipelines, search engines, and ML-serving infrastructure, the team processes millions of daily queries. Key focus areas include query and intent understanding using NLP and deep learning, real-time autocomplete, complex retrieval methods, multi-phase ML ranking models, and data pipelines that feed search indices and analytics. This team's work directly influences how millions of customers locate products efficiently and effectively. Our systems tackle:

 * Query & Intent Understanding - product type classification, intent recognition, and sequence tagging (NLP and deep learning)
 * Autocomplete - real-time query suggestions at low-latency
 * Retrieval - Complex query construction, faceted navigation, semantic and lexical retrieval
 * Ranking - multi-phase ML models (LTR/Neural) optimizing for customer satisfaction
 * Data & Feature Pipelines - feeding search indices, feature stores, and analytics platforms.
 * What you'll do:
 * Collaborate with engineers, data scientists, and product teams to deliver machine learning features and models aligned with business objectives.
 * Design, develop, and deploy scalable ML systems using appropriate algorithms, frameworks, and coding languages.
 * Implement and maintain data pipelines, APIs, and model components ensuring quality, security, and compliance.
 * Apply MLOps practices including CI/CD, model versioning, monitoring, and automated retraining to sustain performance.
 * Conduct rigorous model evaluation, validation, and performance monitoring to ensure accuracy and reliability.
 * Mentor team members on best practices, code quality, and model evaluation techniques.
 * Participate in architectural discussions to enhance system scalability and maintainability.
 * Build and optimize high-throughput, low-latency services, applying best practices around distributed systems, fault-tolerance, and concurrency
 * Run A/B experiments; measuring impact on search quality and business metrics