Arkansas Staffing
Senior, Software Engineer, Machine Learning
Arkansas Staffing, Sunnyvale, California, United States, 94087
Senior Software Engineer
As a part of Walmart Global Tech, you will build state of the art personalization and recommendation solutions that will elevate the e-commerce experience of millions of customers. We are looking for a Senior Software Engineer to join the Personalization team under Commerce Platforms organization. You will be in the unique position to bring a broader impact to the Walmart's customers and associates by building features and solutions that power the ML model inferencing and governance at scale, contributing to highly engaging customer experiences for Walmart customers across channels. If you are someone who feels a personal stake in everything that you work on, has a love for data, enjoys solving complex problems using machine learning engineering, has a passion for privacy, knows how to foster strong relationships and build trust, and works for the success of the entire team then this is just the right place for you. Our team consists of big data geeks, machine learning engineers, application engineers, data scientists, and product visionaries who are passionate about using cutting-edge machine learning, deep learning, reinforcement learning, natural language processing solutions with data at the scale of Walmart to deliver personalization and recommendation products. Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. What you'll do: Build data-driven platforms and capabilities to power Personalization experiences across site, app, stores, voice commerce. Design and develop applications and workflows to process and manage petabyte scales of data to build ML feature. Collaborating with Science and Engineering teams to deliver end-to-end scalable solutions for cross-functional projects. Work closely with business and product stakeholders to define strategy, vision, and roadmap for top initiatives in Personalization and Recommendations. Actively contribute to the research community through participation at conferences, seminars, and workshops. What you'll bring: Experience in architecting and designing large-scale distributed systems that process large volumes of data focusing on scalability, latency, and fault-tolerance. Advanced knowledge of complex software design, distributed system design, design patterns and application building experience using Java or Scala. Experience in building and scaling systems that orchestrate and execute complex workflows in big data leveraging Apache Spark, Apache Kafka, and Hadoop stack preferably in Google Cloud Platform. Experience in designing ML features and models from structured and unstructured data. Experience in building datasets, tools, and services supporting big data and analytics operations. Experience in evaluating and fine-tuning systems for speed, robustness, and cost efficiency. Experience in relational SQL and NoSQL databases like Cassandra, AzureSQL, Cosmos. Familiar with CI/CD and release management processes used in software engineering field. Strong written and oral communication skills. 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. Walmart's culture is a competitive advantage, and it's fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey. 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, abilities, ideas and opinions- while being inclusive of all people. 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: 1345 Crossman Ave, Sunnyvale, CA 94089-1114, 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. 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, abilities, ideas, and opinions- while being inclusive of all people.
As a part of Walmart Global Tech, you will build state of the art personalization and recommendation solutions that will elevate the e-commerce experience of millions of customers. We are looking for a Senior Software Engineer to join the Personalization team under Commerce Platforms organization. You will be in the unique position to bring a broader impact to the Walmart's customers and associates by building features and solutions that power the ML model inferencing and governance at scale, contributing to highly engaging customer experiences for Walmart customers across channels. If you are someone who feels a personal stake in everything that you work on, has a love for data, enjoys solving complex problems using machine learning engineering, has a passion for privacy, knows how to foster strong relationships and build trust, and works for the success of the entire team then this is just the right place for you. Our team consists of big data geeks, machine learning engineers, application engineers, data scientists, and product visionaries who are passionate about using cutting-edge machine learning, deep learning, reinforcement learning, natural language processing solutions with data at the scale of Walmart to deliver personalization and recommendation products. Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. What you'll do: Build data-driven platforms and capabilities to power Personalization experiences across site, app, stores, voice commerce. Design and develop applications and workflows to process and manage petabyte scales of data to build ML feature. Collaborating with Science and Engineering teams to deliver end-to-end scalable solutions for cross-functional projects. Work closely with business and product stakeholders to define strategy, vision, and roadmap for top initiatives in Personalization and Recommendations. Actively contribute to the research community through participation at conferences, seminars, and workshops. What you'll bring: Experience in architecting and designing large-scale distributed systems that process large volumes of data focusing on scalability, latency, and fault-tolerance. Advanced knowledge of complex software design, distributed system design, design patterns and application building experience using Java or Scala. Experience in building and scaling systems that orchestrate and execute complex workflows in big data leveraging Apache Spark, Apache Kafka, and Hadoop stack preferably in Google Cloud Platform. Experience in designing ML features and models from structured and unstructured data. Experience in building datasets, tools, and services supporting big data and analytics operations. Experience in evaluating and fine-tuning systems for speed, robustness, and cost efficiency. Experience in relational SQL and NoSQL databases like Cassandra, AzureSQL, Cosmos. Familiar with CI/CD and release management processes used in software engineering field. Strong written and oral communication skills. 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. Walmart's culture is a competitive advantage, and it's fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey. 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, abilities, ideas and opinions- while being inclusive of all people. 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: 1345 Crossman Ave, Sunnyvale, CA 94089-1114, 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. 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, abilities, ideas, and opinions- while being inclusive of all people.