Walmart
Senior, Software Engineer (Machine Learning Engineer) | Pricing Team
Walmart, Bentonville, Arkansas, United States, 72712
Position Summary:Walmart Global Tech is looking for a highly skilled
Senior Machine Learning Engineer
to join our team of data scientists and engineers. The
ideal candidate
will have experience in
developing and maintaining machine learning models,
as well as experience in working with large datasets. The
primary responsibilities
of this position will be to design, develop, and maintain software for various machine learning models and model pipelines using cloud technologies with Python, BigQuery, and Spark. The candidate will also be
responsible
for working with data scientists to
integrate machine learning innovations and algorithms
into production systems.Team is looking for a
Senior MLE
specializing in
Pricing Algorithms
to lead our efforts in
developing sophisticated pricing models and strategies
. As a
Senior Data MLE
, you will play a
critical role
in driving innovation and optimizing revenue through the application of advanced statistical and machine learning techniques. You will collaborate closely with cross-functional teams to
develop and implement pricing algorithms
that maximize profitability and drive business growth.About Team:Our
Merchandise AI Team
within
Applied AI group
is the driving force behind our retail and e-commerce success, leveraging cutting-edge AI and machine learning techniques to optimize every aspect of our merchandising strategy. With a diverse blend of
expertise in statistical analysis, machine learning algorithms, and retail operations
, our team pioneers innovative solutions across the merchandising lifecycle, from demand forecasting and assortment planning to pricing optimization. We're dedicated to building algorithms that empower stakeholders throughout the organization to make informed, data-driven decisions, ensuring that we stay ahead of the curve in an ever-evolving retail landscape.What you'll do:Algorithm Development:
Lead the design, development, and deployment of
advanced pricing algorithms
using state-of-the-art machine learning techniques, including but not limited to regression analysis, demand forecasting, dynamic pricing, and reinforcement learning.Code Review:
Conduct thorough code reviews of pricing algorithms and related software components developed by the team. Ensure adherence to best practices, coding standards, and optimization techniques. Provide constructive feedback and mentorship to team members to enhance code quality and maintainability.Data Analysis and Insights:
Utilize large datasets to conduct in-depth analysis of customer behavior, market dynamics, and competitive pricing strategies. Extract actionable insights to inform pricing decisions and strategy formulation.Model Evaluation and Optimization:
Oversee the evaluation, validation, and optimization of pricing models to ensure accuracy, reliability, and performance. Implement rigorous testing methodologies to assess model effectiveness and robustness.Collaboration and Stakeholder Engagement:
Collaborate closely with cross-functional teams including product management, engineering, marketing, and finance to understand business objectives, requirements, and constraints. Work collaboratively to translate business needs into data-driven pricing solutions.Thought Leadership:
Stay abreast of industry trends, best practices, and emerging technologies in pricing analytics, data science, and machine learning. Provide thought leadership and guidance on pricing strategy, methodologies, and implementation best practices.Documentation and Communication:
Document methodologies, findings, and recommendations in clear and concise manner. Communicate complex technical concepts and insights to non-technical stakeholders through presentations, reports, and dashboards.What you'll bring:Masters/PHD in Computer Science with 5+ years of experience
working as a Machine Learning Engineer.You’re experienced with
Data Science and Machine Learning , including
Regression, Classification, Ensemble Methods, Deep Learning, Reinforcement Learning, GenAI , etc.You have strong implementation experience with at least one of the programming languages ( Python, Java, C++ , etc.).You have
strong hands-on skills in data wrangling over massive datasets
using distributed computing platform.You have strong written and oral
communication skills .You have experience in online advertising, recommender system, search engine, ecommerce or related areas.You’re experienced with end-to-end modeling projects emerging from research efforts.You have an excellent academic or industrial track record of proposing, conducting, and reporting results of original research, plus collaborative research with publications.About Walmart Global Tech:Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity experts, and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.Flexible, Hybrid work:We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose, and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.Benefits:Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.Equal Opportunity Employer:Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.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 or related area.Option 2: 5 years’ experience in software engineering or related area.Preferred Qualifications:Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 1 year's experience in software engineering or related area.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:203 Se Martin Luther King Jr, Bentonville, AR 72712-0000, United States of America
#J-18808-Ljbffr
Senior Machine Learning Engineer
to join our team of data scientists and engineers. The
ideal candidate
will have experience in
developing and maintaining machine learning models,
as well as experience in working with large datasets. The
primary responsibilities
of this position will be to design, develop, and maintain software for various machine learning models and model pipelines using cloud technologies with Python, BigQuery, and Spark. The candidate will also be
responsible
for working with data scientists to
integrate machine learning innovations and algorithms
into production systems.Team is looking for a
Senior MLE
specializing in
Pricing Algorithms
to lead our efforts in
developing sophisticated pricing models and strategies
. As a
Senior Data MLE
, you will play a
critical role
in driving innovation and optimizing revenue through the application of advanced statistical and machine learning techniques. You will collaborate closely with cross-functional teams to
develop and implement pricing algorithms
that maximize profitability and drive business growth.About Team:Our
Merchandise AI Team
within
Applied AI group
is the driving force behind our retail and e-commerce success, leveraging cutting-edge AI and machine learning techniques to optimize every aspect of our merchandising strategy. With a diverse blend of
expertise in statistical analysis, machine learning algorithms, and retail operations
, our team pioneers innovative solutions across the merchandising lifecycle, from demand forecasting and assortment planning to pricing optimization. We're dedicated to building algorithms that empower stakeholders throughout the organization to make informed, data-driven decisions, ensuring that we stay ahead of the curve in an ever-evolving retail landscape.What you'll do:Algorithm Development:
Lead the design, development, and deployment of
advanced pricing algorithms
using state-of-the-art machine learning techniques, including but not limited to regression analysis, demand forecasting, dynamic pricing, and reinforcement learning.Code Review:
Conduct thorough code reviews of pricing algorithms and related software components developed by the team. Ensure adherence to best practices, coding standards, and optimization techniques. Provide constructive feedback and mentorship to team members to enhance code quality and maintainability.Data Analysis and Insights:
Utilize large datasets to conduct in-depth analysis of customer behavior, market dynamics, and competitive pricing strategies. Extract actionable insights to inform pricing decisions and strategy formulation.Model Evaluation and Optimization:
Oversee the evaluation, validation, and optimization of pricing models to ensure accuracy, reliability, and performance. Implement rigorous testing methodologies to assess model effectiveness and robustness.Collaboration and Stakeholder Engagement:
Collaborate closely with cross-functional teams including product management, engineering, marketing, and finance to understand business objectives, requirements, and constraints. Work collaboratively to translate business needs into data-driven pricing solutions.Thought Leadership:
Stay abreast of industry trends, best practices, and emerging technologies in pricing analytics, data science, and machine learning. Provide thought leadership and guidance on pricing strategy, methodologies, and implementation best practices.Documentation and Communication:
Document methodologies, findings, and recommendations in clear and concise manner. Communicate complex technical concepts and insights to non-technical stakeholders through presentations, reports, and dashboards.What you'll bring:Masters/PHD in Computer Science with 5+ years of experience
working as a Machine Learning Engineer.You’re experienced with
Data Science and Machine Learning , including
Regression, Classification, Ensemble Methods, Deep Learning, Reinforcement Learning, GenAI , etc.You have strong implementation experience with at least one of the programming languages ( Python, Java, C++ , etc.).You have
strong hands-on skills in data wrangling over massive datasets
using distributed computing platform.You have strong written and oral
communication skills .You have experience in online advertising, recommender system, search engine, ecommerce or related areas.You’re experienced with end-to-end modeling projects emerging from research efforts.You have an excellent academic or industrial track record of proposing, conducting, and reporting results of original research, plus collaborative research with publications.About Walmart Global Tech:Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity experts, and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.Flexible, Hybrid work:We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose, and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.Benefits:Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.Equal Opportunity Employer:Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.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 or related area.Option 2: 5 years’ experience in software engineering or related area.Preferred Qualifications:Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 1 year's experience in software engineering or related area.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:203 Se Martin Luther King Jr, Bentonville, AR 72712-0000, United States of America
#J-18808-Ljbffr