Position Summary...

What you'll do...

At Walmart eCommerce we connect customers with the right products for the best price. As part of the Fortune #1 enterprise, your contributions will be visible to millions that come every day to our online marketplace. Shoppers are quite diverse on various dimensions, including language, cuisine, geo-location and terminology. We strive to help them all equally. For example, the US is home to the 2nd largest community of Spanish speakers in the world which uses more than 10 different ways to refer to “popcorn”!

This role belongs to an era where breakthroughs in AI are impacting all aspects of our lives. If you’re passionate about finding the right tech to build efficient ML solutions that satisfy the needs of millions of customers, then look no further, our team will find the way to meet your passion!

You’ll make an impact by:

  • Analyzing, designing, implementing, and evaluating ML systems for Machine Translation, Localization, Contextualization and Personalization.

  • Contributing to a research path that delivers the best accuracy and quality in NLP tasks.

  • Expanding the reach of ML technologies for multilingual and localization purposes.

  • Collaborating with product managers and business teams on the understanding and definition of business problems, in order to properly formulate data driven and ML based solutions.

You’ll bring value to the team because you proactively seek perfection in AI systems, and:

  • You are proficient in Spanish, English… and Python.

  • You hold a PhD or a master’s degree in CS, CE, ML, ideally with a focus on NLP.

  • You are obsessed with accuracy, quality, impact, and efficiency of ML systems.

  • You see the value and enjoy the challenge of manipulating large volumes of data.

  • You can leverage Transformers and LLMs to solve Seq2Seq tasks like NMT.

  • Your hands on ML experience includes PyTorch or TensorFlow, … or maybe something more specific like MarianNMT or openNMT.

  • You will be there in our ML journeys, from vision, to research, PoC, production and launch, so bringing end-to-end ML experience to the team would be very appreciated.

About Walmart Global Tech

We’re a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer. We deliver innovations that improve the experience of our customers and our 2.2 million associates. Walmart has always been about the people. Being human-led is our true disruption.

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 $90,000.00-$180,000.00

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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...

2501 Se J St, Ste A, Bentonville, AR 72716-3724, United States of America

Salary

$90,000 - $180,000

Yearly based

Location

(USA) AR BENTONVILLE Home Office Bentonville Global Tech

Job Overview
Job Posted:
6 months ago
Job Expires:
Job Type
Full Time

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