(USA) Senior, Machine Learning Engineer
(USA) SUNNYVALE TECH CORNERS BLDG 6 CA SUNNYVALE Home Office Full-time Senior Machine Learning Engineering
At a glance
Senior Machine Learning Engineering role at Walmart. (USA) SUNNYVALE TECH CORNERS BLDG 6 CA SUNNYVALE Home Office · full-time · $143,000–$286,000 base.
SalaryStated by Walmart
$143,000 – $286,000
Base salary for this role, in USD per year, as published in the posting.
RoleMachine Learning Engineering
SenioritySenior
Location(USA) SUNNYVALE TECH CORNERS BLDG 6 CA SUNNYVALE Home Office
EmploymentFull-time
Base pay$143,000–$286,000
PostedOct 28, 2026 · 4d ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Create auto-research systems where AI agents adjust hyperparameters and test results against target measures
- Select top-performing models with limited hands-on work, shortening the machine learning development process
- Coordinate with engineering, data science and product groups to ship models and machine learning capabilities
- Build and maintain ML services, APIs and data pipelines, using CI/CD, model tracking and automatic retraining
- Check models for quality and drift, then maintain them under security and AI governance rules
What you bring
- A relevant bachelor's degree and three years in software engineering, machine learning engineering or AI systems, or five years of related experience
- Practical experience running autonomous research systems and automated experiments tied to defined measures
- Skills building scalable ML systems with TensorFlow, PyTorch or Scikit-learn, plus production software in Python, SQL or another listed language
Who this fits
This senior role suits someone who can develop production ML systems, guide technical work and mentor colleagues. The listed primary location is Sunnyvale, California.
From the employer
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
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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.