Join Walmart's Search MLOps team as a Senior Software Engineer in a role that combines machine learning operations with large-scale distributed systems. You'll be responsible for supporting and enhancing Walmart's MLOps platform, working with cutting-edge technologies including Kubernetes, Solr, Redis, and Kafka. The position involves optimizing ML model performance, implementing model serving solutions, and building high-performance, scalable systems.
As part of the Model Serving team, you'll work on critical platform features, suggest performance improvements, and guide other engineers in developing and productionizing ML solutions. The role requires expertise in Python programming, machine learning technologies, and a strong foundation in software engineering principles. You'll collaborate with cross-functional teams to solve complex business problems and contribute to the development of best-in-class methodologies.
Walmart Global Tech offers an environment where your code can impact hundreds of millions of people. You'll be part of a team that's driving retail disruption through technology innovation. The company provides comprehensive benefits, including competitive salary, performance bonuses, 401(k) match, stock purchase plans, and extensive healthcare coverage.
The position is based in Sunnyvale, CA, offering the opportunity to work in the heart of Silicon Valley while contributing to the digital transformation of the world's largest retailer. You'll be part of a culture that values intellectual curiosity, innovation, and the ability to think beyond the status quo. This role is perfect for someone who wants to make a significant impact at scale while working with the latest ML technologies and contributing to the future of retail technology.