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 Customer Experience organization. You will be in the unique position to bring a broader impact to 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, 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, application engineers, 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.
About the Team:
The Personalization team consists of big data geeks, application engineers, scientists and product visionaries all working together to design, prototype and build technology-driven products and experiences that will change the future landscape of e-commerce. We are focused on building an intelligent system that will enable 1:1 personalized customer experience, from finding the product to delivering it to the customer. We are building platforms and data solutions that are used to generate ML features that power the ML model inferencing, governance, privacy, and analytics at large scale. Our team partners with the data scientists that train state-of-the-art probabilistic models on these ML features to serve our customer needs by leveraging cutting edge machine learning, deep learning, reinforcement learning, natural language processing, entity-relationship extraction, and knowledge representation.
What you'll do:
- Build data-driven platforms and capabilities to power Personalization experiences across site, app, stores, voice commerce.
- Build systems and workflows to process and manage petabyte scales of features data.
- Collaborate with members of technical staff to deliver end-to-end scalable systems for cross-functional projects.
- Work closely with business and product stakeholders to deliver strategy, vision, and roadmap for top initiatives in Personalization and Recommendations.
- Actively keep pace with new developing technologies in the MLE/data space and present technical solutions including architecture, design, implementation details, and customer and business impacting KPIs.
- Actively contribute to the research community through participation at conferences, seminars, and workshops.
What you'll bring:
- You have experience in building large-scale distributed systems that process large volumes of data focusing on scalability, latency, and fault-tolerance.
- You have knowledge of complex software design, distributed system design, design patterns, data structures and algorithms.
- You have experience in building systems that orchestrate and execute complex workflows in big data leveraging Apache Spark, Apache Kafka, and Hadoop stack preferably in Google Cloud Platform.
- You are proficient in Java or Scala, Python, shell scripts, HQL, SQL.
- You have experience in evaluating and fine-tuning systems for speed, robustness, and cost efficiency.
- You have experience in designing features and models from structured and unstructured data.
- You have experience in building datasets, tools, and services supporting big data and analytics operations.
- You have experience in relational SQL and NoSQL databases like Cassandra, AzureSQL, Cosmos.
- You have experience with distributed version control like Git or similar.
- You are familiar with continuous integration/deployment processes and tools such as Jenkins and Maven.
- You have strong written and oral communication skills.
- Experience in the Personalization and recommendation domain preferred.
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 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.
Primary Location:
680 West California Avenue, Sunnyvale, CA 94086-4834, United States of America.
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