Job Description
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 a 12-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. Job Summary:We are looking for a dedicated and innovative Machine Learning Engineer Intern to join our team. In this role, you will work on advanced machine learning and AI projects, driving initiatives that enhance our product capabilities and align with our business strategy. You’ll apply your expertise to solve real-world problems, working on impactful projects that improve our automation, decision-making, and data insights.
Responsibilities + Skills
Excellent analytical skills and an interest in working with large datasets to solve complex problems.A collaborative mindset and eagerness to learn in a fast-paced, dynamic environment.
Education
Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, or a related field.Strong understanding of machine learning fundamentals, data structures, and algorithms.Proficiency in programming languages such as Python, R, or Java, and frameworks like PyTorch, TensorFlow, or scikit-learn.
Experience