Overview
On Site
USD 300,000.00 per year
Full Time
Skills
FOCUS
Service Operations
Finance
Business Software
Productivity
Unstructured Data
Algorithms
Workflow
Natural Language
Management
Cross-functional Team
User Experience
Product Development
Ideation
SAFE
Collaboration
Regulatory Compliance
Privacy
Legal
Mentorship
Coaching
Microsoft
Startups
Communication
Presentations
DS
DirectShow
NumPy
Pandas
PyTorch
Deep Learning
Neural Network
Artificial Intelligence
SQL
Large Language Models (LLMs)
Prompt Engineering
Customization
Natural Language Processing
ACL
Data Science
Optimization
Machine Learning (ML)
Computer Science
IT Operations
Research
Statistics
Applied Mathematics
Econometrics
Publications
Python
Apache Spark
Scala
R
Open Source
scikit-learn
TensorFlow
Torch
Web Content
WCAG
Assistive Technology
Accessibility
Job Details
Position Summary...
What you'll do...
About Walmart
Walmart employs more than 2.3 million associates worldwide, with 1.6 million associates in the U.S.
Each year, Walmart hires 500,000 applicants to fill thousands of job profiles from engineers, designers,
and marketers to pilots and buyers. We promote over 300,000 people annually to positions of greater
responsibility.
About People Technology Team
The Enterprise People Technology team supports the successful deployment and adoption of new People technology across the enterprise. As a Fortune #1 company, our work impacts millions of associates globally. We strive to continuously improve people technology and products to help managers and associates focus on what matters most - supporting our customers and members. People Technology is a significant segment of Walmart Global Tech's Enterprise Business Services, invested in building a compact, robust organization that includes service operations and technology solutions for
Finance, People, and the Associate Digital Experience.
About People.AI TeamThe People.AI team is responsible for developing and deploying AI/ML solutions supporting the Walmart associates globally. In this role, you will build an LLM-powered intelligent experience within a chatbot or business application to enhance associate experience and productivity. You will design and build an intelligent conversational interface that improves communication, automates tasks, accesses data and insights, and provides personalized Q&A support to associates, ultimately creating a more efficient and engaging work environment.
What You'll Do
Develop LLM-powered intelligent experiences that interpret and generate
insights from both tabular and unstructured data.
Build and optimize personalized Q&A systems using large language models,
enabling context-aware responses tailored to user needs.
Design and enhance conversational talent recommendation systems, combining
autonomous agent architectures with personalized recommendation
algorithms.
Advance traditional recommendation systems by evolving them from simple ranked
lists to multi-topic, interactive experiences that better reflect user intent.
Construct multi-agent intelligent workflows that translate natural language
inputs into complex, goal-directed task sequences.
Collaborate within a highly cross-functional team, including data scientists,
machine learning engineers, product managers, and UX designers.
Partner with fellow data scientists to design, prototype, and iterate on AI/ML
models and system architectures.
Work closely with machine learning engineers to deploy, monitor, and optimize
scalable AI/ML solutions in production environments.
Collaborate with product managers to design intuitive user experiences, define
feedback loops, and analyze user telemetry to guide product improvements.
Engage in end-to-end AI/ML product development, from ideation to deployment,
while continually expanding your technical and product skillset.
Follow and help define robust development standards to ensure the creation of
trustworthy, safe, and responsible AI systems.
Contribute to internal and external AI/ML research through experimentation,
whitepapers, and collaboration with the broader AI community.
What You'll BringProven experience deploying high-risk NLP applications in real-world, production
environments-such as those involving regulatory compliance, privacy, safety, or
fairness.
Demonstrated ability to advance and implement Trustworthy AI and Responsible
ML practices, working cross-functionally with engineering, legal, policy, and
product stakeholders across a large enterprise.
Track record of mentoring and coaching junior data scientists, especially in
navigating ambiguous or novel problem spaces.
Strong applied machine learning experience, with solid foundational knowledge in
statistics, optimization, and deep learning-preferably gained at leading
technology companies (e.g., Google, Meta, Microsoft) or AI-first startups.
Excellent communication skills with the ability to synthesize complex technical
work into accessible insights for executive briefings, research publications, and
external presentations.
Advanced proficiency in Python and common ML/DS libraries such as NumPy,
pandas, scikit-learn, as well as deep learning frameworks like TensorFlow,
PyTorch.
Experience designing and deploying scalable deep learning systems, including
neural network architecture optimization, model distillation, quantization, or
on-device inference.
Strong understanding of machine learning infrastructure, including experience
with Kubeflow, MLflow, Airflow is a plus.
12+ years of industry experience, with a demonstrated ability to take ownership of
complex projects and deliver impactful AI/ML solutions from concept to production.
Bonus Skills:
Hands-on experience with Text-to-SQL or Text-to-Cypher based application, or the
design of modern recommender systems.
Experience developing or fine-tuning large language models (LLMs), including
prompt engineering, retrieval-augmented generation (RAG), or open-weight model
customization.
Publication history in top-tier ML/NLP conferences such as NeurIPS, ICML, ACL,
EMNLP, or ICLR
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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 6 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 4 years' experience in an analytics related field. Option 3: 8 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, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, 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...
805 Se Moberly Ln, Bentonville, AR 72712, United States of America
Walmart 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.
What you'll do...
About Walmart
Walmart employs more than 2.3 million associates worldwide, with 1.6 million associates in the U.S.
Each year, Walmart hires 500,000 applicants to fill thousands of job profiles from engineers, designers,
and marketers to pilots and buyers. We promote over 300,000 people annually to positions of greater
responsibility.
About People Technology Team
The Enterprise People Technology team supports the successful deployment and adoption of new People technology across the enterprise. As a Fortune #1 company, our work impacts millions of associates globally. We strive to continuously improve people technology and products to help managers and associates focus on what matters most - supporting our customers and members. People Technology is a significant segment of Walmart Global Tech's Enterprise Business Services, invested in building a compact, robust organization that includes service operations and technology solutions for
Finance, People, and the Associate Digital Experience.
About People.AI TeamThe People.AI team is responsible for developing and deploying AI/ML solutions supporting the Walmart associates globally. In this role, you will build an LLM-powered intelligent experience within a chatbot or business application to enhance associate experience and productivity. You will design and build an intelligent conversational interface that improves communication, automates tasks, accesses data and insights, and provides personalized Q&A support to associates, ultimately creating a more efficient and engaging work environment.
What You'll Do
Develop LLM-powered intelligent experiences that interpret and generate
insights from both tabular and unstructured data.
Build and optimize personalized Q&A systems using large language models,
enabling context-aware responses tailored to user needs.
Design and enhance conversational talent recommendation systems, combining
autonomous agent architectures with personalized recommendation
algorithms.
Advance traditional recommendation systems by evolving them from simple ranked
lists to multi-topic, interactive experiences that better reflect user intent.
Construct multi-agent intelligent workflows that translate natural language
inputs into complex, goal-directed task sequences.
Collaborate within a highly cross-functional team, including data scientists,
machine learning engineers, product managers, and UX designers.
Partner with fellow data scientists to design, prototype, and iterate on AI/ML
models and system architectures.
Work closely with machine learning engineers to deploy, monitor, and optimize
scalable AI/ML solutions in production environments.
Collaborate with product managers to design intuitive user experiences, define
feedback loops, and analyze user telemetry to guide product improvements.
Engage in end-to-end AI/ML product development, from ideation to deployment,
while continually expanding your technical and product skillset.
Follow and help define robust development standards to ensure the creation of
trustworthy, safe, and responsible AI systems.
Contribute to internal and external AI/ML research through experimentation,
whitepapers, and collaboration with the broader AI community.
What You'll BringProven experience deploying high-risk NLP applications in real-world, production
environments-such as those involving regulatory compliance, privacy, safety, or
fairness.
Demonstrated ability to advance and implement Trustworthy AI and Responsible
ML practices, working cross-functionally with engineering, legal, policy, and
product stakeholders across a large enterprise.
Track record of mentoring and coaching junior data scientists, especially in
navigating ambiguous or novel problem spaces.
Strong applied machine learning experience, with solid foundational knowledge in
statistics, optimization, and deep learning-preferably gained at leading
technology companies (e.g., Google, Meta, Microsoft) or AI-first startups.
Excellent communication skills with the ability to synthesize complex technical
work into accessible insights for executive briefings, research publications, and
external presentations.
Advanced proficiency in Python and common ML/DS libraries such as NumPy,
pandas, scikit-learn, as well as deep learning frameworks like TensorFlow,
PyTorch.
Experience designing and deploying scalable deep learning systems, including
neural network architecture optimization, model distillation, quantization, or
on-device inference.
Strong understanding of machine learning infrastructure, including experience
with Kubeflow, MLflow, Airflow is a plus.
12+ years of industry experience, with a demonstrated ability to take ownership of
complex projects and deliver impactful AI/ML solutions from concept to production.
Bonus Skills:
Hands-on experience with Text-to-SQL or Text-to-Cypher based application, or the
design of modern recommender systems.
Experience developing or fine-tuning large language models (LLMs), including
prompt engineering, retrieval-augmented generation (RAG), or open-weight model
customization.
Publication history in top-tier ML/NLP conferences such as NeurIPS, ICML, ACL,
EMNLP, or ICLR
?
?
?
?
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 6 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 4 years' experience in an analytics related field. Option 3: 8 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, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, 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...
805 Se Moberly Ln, Bentonville, AR 72712, United States of America
Walmart 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.