2025 Summer Internship Program Location: This role is scheduled to be 100% remote. While remote, finalists MUST reside in one of the following states to be eligible for employment with Kaiser Permanente: CA, OR, WA, HI, CO, GA, MD, VA, CT, DC, or IL. Department Description: We harness cutting-edge ML/AI and advanced analytics to transform how patients, providers, and employees access information across our healthcare ecosystem. By developing intelligent search experiences and data-driven insights, our team streamlines workflows, enhances collaboration, and improves health outcomes. Intern Project(s): During this internship, you’ll be helping build our AI-driven search platform. Responsibilities include: 1) Search Pipeline: Collaborate on designing and implementing a scalable data ingestion and indexing process, creating the groundwork for advanced AI-based retrieval methods. 2) AI Model Development: Research and prototype ML/AI algorithms to transition from basic keyword search to intelligent, context-aware query handling. 3) Performance Optimization & Metrics: Evaluate and improve model precision/recall, while setting up robust A/B testing frameworks to guide data-driven enhancements. 4) Deployment & Integration: Work with cross-functional teams to integrate your solutions into production, ensuring reliability, scalability, and compliance with Kaiser Permanente’s privacy and security standards. By the end of the internship, you will have shaped the next generation of our search capabilities delivering measurable impact and setting a solid AI foundation for future innovation. Target Majors: Computer Science; Math/Statistics; Data Science Target Skills: ML & NLP: Proficiency in Python-based ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and natural language processing techniques. Data Wrangling: Experience gathering, cleaning, and transforming large structured and unstructured datasets. Search Algorithms & Retrieval: Familiarity with search technologies (e.g., Elasticsearch, Lucene) or recommendation systems. Cloud & MLOps: Understanding of cloud platforms (AWS, GCP, or Azure) and best practices for model deployment, monitoring, and CI/CD. Software Engineering: Strong coding skills, version control (Git), and the ability to write clean, maintainable code. Analytical & Problem-Solving: Comfortable working with performance metrics, debugging, and iterative experimentation. Job Summary: Lay the groundwork for a dynamic future with an industry leader. At Kaiser Permanente, you'll forge lasting relationships with colleagues across the organization while enjoying the opportunity to grow your experience and hone your expertise on assignments that have real impact. Our interns have worked on everything from analyzing financial software and developing new marketing strategies, to designing mobile apps and helping clinicians improve care delivery. We want you to get the most out of your time here and will give you projects that challenge you to think freely, question thoroughly, and explore deeply. Essential Responsibilities: + Contributing to a designated project or initiative to meet a KP business objective. Basic Qualifications: Experience + N/A Education + Bachelors degree required. + Pursuing a graduate degree or have completed a graduate program from an accredited university within the last year. License, Certification, Registration + N/A Additional Requirements: + Aptitude to perform data and process analytics and formulating solutions + Proven ability to build effective working relationships as well as strong interpersonal skills + Working knowledge of MS Word, Excel, PowerPoint. Preferred Qualifications: + 3.0 GPA or above + Advanced analytical and problem-solving skills + Proven ability to build effective working relationships as well as strong interpersonal skills + Excellent verbal and written communication skillsAbility to learn quickly and experience producing high quality work in short periods of time. COMPANY: KAISER TITLE: AI Development Master's Intern LOCATION: Pleasanton, California REQNUMBER: 1337053 External hires must pass a background check/drug screen. Qualified applicants with arrest and/or conviction records will be considered for employment in a manner consistent with Federal, state and local laws, including but not limited to the San Francisco Fair Chance Ordinance. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, protected veteran, or disability status.