Join Our Team: Staff Software Engineer - Personalization & Machine Learning

Location: Sunnyvale, CA

Position Summary

We are seeking a highly skilled and experienced Staff Software Engineer to join our Personalization Team in Sunnyvale. In this role, you will be responsible for developing and implementing machine learning algorithms and models to enhance our personalized recommendation systems. You will collaborate closely with cross-functional teams to understand business requirements and develop innovative solutions using machine learning techniques.

What You'll Do

• Collaborate with the Personalization Team in Sunnyvale to understand business requirements and develop machine learning solutions for personalized recommendation systems.
• Design and implement advanced machine learning and computer science algorithms in the Personalization e-commerce platform.
• Continuously monitor and evaluate feature and model performance, making necessary improvements and enhancements.
• Collaborate with engineers to integrate machine learning models and algorithms into existing systems and platforms.
• Conduct experiments and A/B testing to measure the impact of new models and algorithms.
• Stay up-to-date with the latest advancements in machine learning techniques and technologies, and proactively apply them to improve our recommendation systems.
• Mentor and provide guidance to junior machine learning engineers, promoting knowledge sharing and technical growth within the team.
• Collaborate with data engineering teams to ensure the availability and quality of data required for model training and evaluation.
• Experience with developing and writing unit-test and regression test cases for new software features and enhancements.
• Stay updated with industry trends and best practices in machine learning and artificial intelligence.

What You'll Bring

• Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or a related field with 5+ years of experience as a Software Engineer, or similar role.
• Strong understanding of machine learning concepts, algorithms, and frameworks.
• Proficient in Java, Python programming language, and relevant libraries such as TensorFlow, PyTorch, scikit-learn, etc.
• Experience with NoSQL systems like Cassandra, Couchbase systems.
• Experience with SpringBoot or similar RestAPI interfaces.
• Experience with big data processing technologies like Apache Spark.
• Experience in developing and deploying machine learning models in a production environment.
• Familiarity with cloud platforms such as AWS, GCP, or Azure. Ability to spin up and deploy to cloud platforms.
• Strong problem-solving skills and ability to think creatively to develop innovative solutions.
• Excellent communication and collaboration skills, with the ability to effectively present complex ideas to both technical and non-technical stakeholders.
• Ability to work independently and in a team environment.
• Experience in personalization and recommendation systems.
• Experience with natural language processing (NLP) and text mining.
• Knowledge of deep learning techniques and frameworks.
• Experience with distributed computing and parallel processing.
• Familiarity with Agile development methodologies.
• Publications or contributions to the machine learning community.

About Our Team

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.

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