OneMain Financial Jobs

T-Mobile is synonymous with innovation-and you could be part of the team that disrupted an entire industry! We reinvented customer service, brought real 5G to the nation, and now we're shaping the future of technology in wireless and beyond. Our work is as exciting as it is rewarding, so consider the career opportunity below as your invitation to grow with us, make big things happen with us, above all, #BEYOU with us. Together, we won't stop! Get hands-on experience, training-and a leg up on a bright future. Learn. Achieve. Build a career. T-Mobile is revolutionizing the wireless industry for millions of customers nationwide. Working here means rolling up your sleeves and redefining the status quo with a team that has your back every step of the way! This is an 11-week paid learning experience during which you'll be able to connect and network with other interns and leaders within the company. We invite you to come innovate with mentors who will challenge you to develop meaningful skills. You'll contribute your creativity and outstanding ideas, while working alongside T-Mobile employees. We'll give you hands-on projects and the chance to create an immediate impact. What It's Like Our engineering organization designs, builds, and supports a wide range of platforms and tools that enable largescale telecom testing and automation. This includes: In-house test orchestration platforms Jenkins-based CI/CD backend systems Robo/Robot Framework automation pipelines Vendor tool integrations for engineering and test nodes Data platforms for log analysis, KPI reporting, and network performance insights AI/ML-powered solutions that enhance testing efficiency and streamline engineering workflows What You'll Do As a Software Engineering Intern, you will contribute to engineering initiatives that enhance automation, AI adoption, and testing efficiency across telecom platforms. Depending on project needs, you may work on one or more of the following: Design and develop AIpowered automation solutions to improve telecom test efficiency Build Pythonbased backend components that integrate with CI/CD systems such as Jenkins Develop and evaluate LLMbased solutions (e.g., Azure OpenAI, RAG workflows, agent frameworks) for analyzing logs, alarms, and KPI datasets Create intelligent workflows for anomaly detection and rootcause analysis Integrate APIs and vendor platforms into internal orchestration and automation tools Work with large engineering datasets, including logs, timeseries KPIs, and performance metrics Participate in Agile ceremonies, such as daily standups, sprint planning, and team demos Present project findings and a final technical deliverable to engineering leadership This is a hands-on engineering internship - not a shadowing role. Key Responsibilities As a Software Engineering Intern, you may also contribute to advanced AI, data, and automation initiatives, including: Prototype and implement LLMbased agents using enterpriseapproved tools such as OpenAI, Claude, or Windsurf Design and build data pipelines to process telecom logs, timeseries KPIs, and performance metrics Collaborate with domain subjectmatter experts (SMEs) to translate complex telecom requirements into practical automation solutions Document system architecture, workflows, and key technical decisions to support ongoing development and knowledge sharing What It Takes Preferred Qualifications Experience working with Large Language Models (LLMs), RetrievalAugmented Generation (RAG) architectures, or agent frameworks Familiarity with AI/ML ecosystems, including Azure OpenAI, OpenAI APIs, LangChain, LlamaIndex, or vector databases Handson experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikitlearn Exposure to log analysis, anomaly detection, or timeseries data proces