(USA) Senior, Machine Learning Engineer
In short. (USA) Senior, Machine Learning Engineer at Walmart: a full-time senior role, on-site in Sunnyvale, CA. Posted salary: $143K – $286K. Skills mentioned: Python, Machine learning, CI/CD, SQL. Posted Oct 26, 2026, checked on the employer's site 2 min ago.
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Opens Walmart's own application page. No sign-up on Sudo Get Job.
Summary
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.
Quoted from Walmart's description, not rewritten.
Skills mentioned
About the role
Position Summary
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.
What you'll bring:
- 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.
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
Minimum Qualifications
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.
Primary Location
815 Eleventh Ave, Sunnyvale, CA 94089-4731, United States of AmericaWalmart 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.Opens Walmart's own application page. No sign-up on Sudo Get Job.
