Costco Digital Services Intern - Infosec AI/ML

Costco IT is responsible for the technical future of Costco Wholesale, the third largest retailer in the world with wholesale operations in fourteen countries. Despite our size and explosive international expansion, we continue to provide a family, employee centric atmosphere in which our employees thrive and succeed. The Costco Digital Services Division is inviting students currently enrolled in an IT or related undergraduate or graduate program at a college or university to participate in a 12-week paid internship program during 2027. Interns will work within specific areas in Costco's Information Systems Division, attend presentations given by members of Executive Management, and at the end of the internship create and present a summary of their experience to their management and peers. Interns will be responsible for their own travel and accommodation expenses. Housing is not provided. The program runs mid-June to early September and is located in Issaquah, WA. No out of state work allowed. All interns are required to be in the office 5 days a week. The InfoSec AI/ML team at Costco applies big data, automation, and AI/ML to strengthen Costco's information security posture. You will work on modern, cloud-native applications that combine enterprise data with applied AI, including LLM- and agent-based systems that help analysts work faster and make better decisions. Possessing and sharpening the fundamentals (data structures, algorithms, system design, and writing clean, testable code) is key for succeeding in this role. ## Role - Works with stakeholders to identify solutions that support their business requirements. - Collaborates with team members on AI/ML projects, contributing to the development, testing, and integration of models and algorithms. - Participates in the design and implementation of automation processes to enhance efficiency and accuracy in data handling and security measures. - Conducts research on the latest trends and technologies in big data, automation, and AI/ML, including LLMs, agentic systems, retrieval, evaluation, and AI-assisted engineering; presents findings and suggests potential applications. - Works across the application stack (web front end, back-end services, data pipelines, and cloud infrastructure), gaining hands-on experience and providing support where needed. - Engages in learning opportunities to develop skills in big data analytics, AI/ML, and automation, guided by experienced professionals. - Participates in team meetings and brainstorming sessions, offering fresh perspectives and ideas. - Helps maintain comprehensive documentation for projects, including progress reports and technical specifications. - Takes on ad hoc tasks as they arise. ## Required Qualifications - Currently pursuing or recently completed a Bachelor's degree in Computer Science, Statistics, or an engineering discipline. - Currently enrolled in an IT or related undergraduate or graduate program at a community college, college or university. - Must be maintaining a GPA of 3.0 or higher. - Strong software fundamentals: solid grasp of data structures, algorithms, and clean coding practices, with the ability to write readable, testable code. - A basic understanding of AI and machine learning concepts, even if primarily theoretical or from academic projects. - Proficiency with programming languages and tools commonly used in data science and AI/ML, such as Python. - Highly self-directed and able to work with minimal supervision, while knowing when to ask for help. - Demonstrated ability to analyze and interpret data, with attention to detail and accuracy. - Experience applying critical thinking and problem-solving skills in technical or analytical contexts. - Ability to work effectively in a team environment. - Excellent verbal and written communication skills. - Good organizational, time, and project management skills. ## Recommended Qualifications - Familiarity with version control systems like GitHub, including pull-request workflows and code review. - Familiarity with cloud technologies, especially Google Cloud Platform (GCP). - Proficiency in software engineering and writing production level code. - Knowledge of programming languages like Python, Java, TypeScript, C++. - Experience with machine learning algorithms, AI concepts, and large language models (LLMs). - Proficiency in writing SQL queries. - Proficiency in Google Workspace applications, including Sheets, Docs, Slides, and Gmail. ## Required Documents - Cover Letter - Resume