(USA) Staff, Machine Learning Engineer
at Walmart Tech
Location
(USA) SUNNYVALE TECH CORNERS CA SUNNYVALE Home Office; (USA) ISD Office - DGTC AR BENTONVILLE Home Office
Compensation
$169k–$338k USD
Type
full time
Posted
1 weeks ago
Market range · company + function + seniority
p25 · target · p75 · n=800
Posted $338k · well above market
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Job description
Position Summary...
What you'll do...
Role summary:As a Staff Machine Learning Engineer, you will architect and lead the development of scalable, production-grade ML systems that address complex business challenges. This role requires designing robust ML architectures, driving innovation in advanced modeling techniques, and overseeing the full ML lifecycle from data sourcing to deployment and monitoring. You will provide technical leadership, mentor engineering and data science teams, and collaborate cross-functionally to ensure alignment with platform strategies. Your expertise will advance Walmart’s ML capabilities, delivering impactful solutions that enhance operational efficiency, customer and associate experiences.
About the team:
The FinTech team develops and scales AI and ML solutions that enhance financial processes, enabling faster and more accurate month-end close activities. Utilizing machine learning, statistical methods, forecasting, computer vision, and optimization, the team addresses complex challenges such as anomalous sales posting, cash loss management, and financial reconciliation. Their work spans predictive, agentic, and perception AI, combining deep technical expertise with strong business collaboration. The team builds robust, scalable systems that improve financial accuracy, operational efficiency, and decision-making across the organization, driving innovation and continuous improvement in financial technology solutions.
What you'll do:
- Build end-to-end ML lifecycle execution, including data sourcing, feature engineering, model training, deployment, and monitoring.
- Architect and guide scalable, production-grade machine learning systems integrated into customer/associate facing and operational products.
- Translate complex business challenges into actionable technical strategies, platform requirements, and success metrics.
- Champion advanced MLOps practices such as CI/CD pipelines, model versioning, drift detection, and performance telemetry.
- Drive innovation in applied ML, including deep learning, NLP, reinforcement learning, and multimodal modeling approaches.
- Mentor engineers, influence architectural decisions, and promote engineering excellence across teams.
- Collaborate cross-functionally to align ML solutions with platform strategies and ensure sustainable scalability.
What you'll bring:
- Strong expertise in end-to-end ML lifecycle management, including feature engineering, model training, deployment, and monitoring.
- Extensive experience architecting scalable, production-grade machine learning systems and platforms.
- Proficiency in advanced ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and languages including Python, SQL, and Java.
- Deep knowledge of neural networks, deep learning, natural language processing, reinforcement learning, and time series analysis.
- Hands-on experience building systems that support advanced agentic architectures, such as memory, trace, eval, orchestration and routing layers.
- Skilled in hyperparameter optimization, model validation, and MLOps best practices.
- Preferred: Experience with Computer Vision technologies and/or Finance domain.
- Excellent critical thinking and technical writing capabilities to communicate complex concepts clearly.
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.
Sunnyvale, California US-11789: The annual salary range for this position is $169,000.00 - $338,000.00
Bentonville, Arkansas US-09050: The annual salary range for this position is $130,000.00 - $260,000.00 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 4 years’ experience in software engineering, machine learning engineering, AI systems or related area.Option 2: 6 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 2 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...
809 11th 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.More open roles at Walmart Tech
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