Sr. Data Scientist – ML Engineering

(USA) San Bruno - 850 Cherry CA San Bruno Home Office, United States

Walmart

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Position Summary...

What you'll do...

We are seeking a highly motivated and experienced AI/ML Infrastructure Engineer to play a critical role in advancing our E-Commerce Analytics platform. In this position, you will be responsible for architecting, designing, developing, and deploying robust and scalable AI/ML pipelines to support production workloads. You will collaborate closely with data analytics teams, machine learning engineers, product managers, and other stakeholders to drive the adoption of cutting-edge AI/ML solutions across various domains within Walmart's E-Commerce ecosystem.

 

Responsibilities:

  • Collaborate with data analytics and data science teams to gather requirements, understand their needs, and iterate on solutions for the AI/ML infrastructure platform.

  • Evaluate and benchmark the performance and capabilities of existing platform offerings, ensuring they meet current needs while prioritizing the development of next-generation capabilities.

  • Develop and execute a comprehensive roadmap for the AI/ML infrastructure platform, focusing on incremental delivery, defining success metrics, and driving platform adoption.

  • Transition AI/ML workloads from proof-of-concept (POC) to production-ready pipelines using MLOps frameworks, ensuring scalability, reliability, and maintainability.

  • Champion the adoption of containerization and orchestration technologies to support data preparation, processing, and inference for large-scale ML models.

  • Stay abreast of the latest advancements in AI/ML infrastructure and technologies, including Generative AI, and contribute to the continuous improvement of our platform.

  • Effectively communicate progress, challenges, and solutions to stakeholders, customers, and senior leadership, fostering transparency and collaboration.

 

Qualifications:

  • 5+ years of hands-on experience in deploying, managing, and operating AI/ML workloads in a production environment.

  • Proven expertise in containerization and orchestration technologies (e.g., Docker, Kubernetes) to support large-scale ML models.

  • Deep understanding of ML frameworks and commercial AI/ML infrastructure, such as PyTorch, TensorFlow, KubeFlow/MLFlow, and HuggingFace.

  • Experience with large-scale distributed training and different parallelism techniques for scaling up training, such as FSDP and tensor/pipeline parallelism.

  • Strong technical acumen with the ability to act as a credible technical advisor, setting and enforcing high-quality standards for code and system design.

  • Demonstrated ability to develop, drive, and execute a technical vision and roadmap, aligning with business objectives.

  • Experience building high-traffic distributed systems and ML infrastructure, ensuring scalability and resilience.

  • Excellent communication and collaboration skills, with the ability to effectively convey technical concepts to both technical and non-technical audiences.

  • Experience with the design and development of AI/ML models and Generative AI technologies is a plus.

 

Benefits:

  • Be a part of a dynamic and collaborative team at the forefront of E-Commerce innovation.

  • Contribute to impactful projects that directly influence Walmart's global E-Commerce business.

  • Work with cutting-edge technologies and platforms, driving the future of AI/ML infrastructure.

  • Competitive salary and benefits package.

  • Opportunities for professional growth and development.

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 short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

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You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.

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For information about PTO, see https://one.walmart.com/notices.

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Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

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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.

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For information about benefits and eligibility, see One.Walmart.

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The annual salary range for this position is $117,000.00-$234,000.00

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Additional compensation includes annual or quarterly performance bonuses.

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Additional compensation for certain positions may also include:

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- 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 Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background 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. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Primary Location...

850 Cherry Avenue, San Bruno, CA 94066-3031, United States of America
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Tags: Classification Computer Science Data Analytics Distributed Systems Docker E-commerce Econometrics Economics Engineering FSDP Generative AI HuggingFace Kubeflow Kubernetes Machine Learning Mathematics MLFlow ML infrastructure ML models MLOps Open Source Pipelines Python PyTorch R Research Scala Scikit-learn Spark Statistics TensorFlow

Perks/benefits: Career development Competitive pay Equity / stock options Health care Insurance Medical leave Parental leave Salary bonus Startup environment Transparency

Region: North America
Country: United States

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