Walmart
Software Engineer III - Machine Learning
Walmart, Sunnyvale, California, United States, 94087
Position Summary
We are seeking a Software Engineer III to contribute to the development of intelligent ranking systems that power personalized shopping experiences across our e-commerce platform. This role involves participating in the design, development, and deployment of ranking models, collaborating with data scientists, and contributing to the ranking experimentation platform. You will also be responsible for developing and maintaining data and feature pipelines for machine learning model training and inference. What you'll do
Participate in the design, development, and deployment of ranking models using both traditional and deep learning approaches. Collaborate with data scientists and senior engineers to translate research into production-ready models. Contribute to the development and maintenance of the ranking experimentation platform, including offline evaluation, online A/B testing, and real-time inference. Assist in building and optimizing embedding-based retrieval systems using vector similarity search and representation learning. Implement components for neural ranking models, including transformers and multi-task learning frameworks. Develop and maintain data and feature pipelines for machine learning model training and inference. Contribute to the overall technical vision and roadmap for ML infrastructure and ranking systems. What You'll Bring
3+ years of experience in software engineering. Experience building and deploying software systems at scale, with some exposure to ranking, recommendation, or search systems. Strong programming skills in Python, Java, or Scala. Familiarity with ML frameworks like TensorFlow or PyTorch. Understanding of core machine learning concepts and algorithms. Experience with data processing and ETL pipelines. Familiarity with best practices in software development and testing. Preferred Qualifications
Experience in e-commerce, retail, or large-scale consumer platforms. Familiarity with learning-to-rank (LTR), embedding models, or neural IR techniques. Exposure to vector databases (e.g., FAISS, Milvus, Weaviate, Pinecone) or approximate nearest neighbor (ANN) search. Experience with cloud platforms (AWS, GCP, or Azure). Good communication and collaboration 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 retailers who make an epic impact and are at the forefront of the next retail disruption. 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 on a scale that impacts 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 the 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 belonging - 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. 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. 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. For information about benefits and eligibility, see Walmart One.
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We are seeking a Software Engineer III to contribute to the development of intelligent ranking systems that power personalized shopping experiences across our e-commerce platform. This role involves participating in the design, development, and deployment of ranking models, collaborating with data scientists, and contributing to the ranking experimentation platform. You will also be responsible for developing and maintaining data and feature pipelines for machine learning model training and inference. What you'll do
Participate in the design, development, and deployment of ranking models using both traditional and deep learning approaches. Collaborate with data scientists and senior engineers to translate research into production-ready models. Contribute to the development and maintenance of the ranking experimentation platform, including offline evaluation, online A/B testing, and real-time inference. Assist in building and optimizing embedding-based retrieval systems using vector similarity search and representation learning. Implement components for neural ranking models, including transformers and multi-task learning frameworks. Develop and maintain data and feature pipelines for machine learning model training and inference. Contribute to the overall technical vision and roadmap for ML infrastructure and ranking systems. What You'll Bring
3+ years of experience in software engineering. Experience building and deploying software systems at scale, with some exposure to ranking, recommendation, or search systems. Strong programming skills in Python, Java, or Scala. Familiarity with ML frameworks like TensorFlow or PyTorch. Understanding of core machine learning concepts and algorithms. Experience with data processing and ETL pipelines. Familiarity with best practices in software development and testing. Preferred Qualifications
Experience in e-commerce, retail, or large-scale consumer platforms. Familiarity with learning-to-rank (LTR), embedding models, or neural IR techniques. Exposure to vector databases (e.g., FAISS, Milvus, Weaviate, Pinecone) or approximate nearest neighbor (ANN) search. Experience with cloud platforms (AWS, GCP, or Azure). Good communication and collaboration 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 retailers who make an epic impact and are at the forefront of the next retail disruption. 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 on a scale that impacts 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 the 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 belonging - 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. 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. 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. For information about benefits and eligibility, see Walmart One.
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