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 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.

Summary

As a Graduate Software Engineer Intern focused on Talent Acquisition AI at T-Mobile, you’ll have a unique opportunity to influence and drive change in our selection process by leveraging data-driven insights and recommending AI-based solutions.   You will analyze recruitment data to uncover key areas for improvement and develop AI recommendations that could shape the future of T-Mobile’s recruiting practices. This hands-on experience will allow you to apply your technical skills to real-world challenges, helping optimize our recruitment process while building essential skills for your career in AI and Talent Acquisition

Required Skills

Knowledge of data analysis, visualizations and organizing large datasets relevant to recruiting tools (e.g., SQL, Python, R, or similar, PowerBI, Tableau).Familiarity with machine learning algorithms, natural language processing, and robotic process automation (RPA).Ability to recommend and implement automationKnowledge of data privacy regulations, predictive analytics, and statistical modeling for trend analysis.Experience with building statistical models that can identify trendsStrong problem-solving skillsExcellent communication skills to work closely with recruiters, hiring managers, and IT teams to understand business needs and technical requirements.

Preferred Qualifications:

Experience in talent acquisition or human resources, ideally with exposure to tech-heavy environments.Familiarity with HR analytics and its application in improving recruiting strategies.Certifications in AI, data analytics, or HR technology tools would be a plus..In-depth knowledge of HR tech ecosystems and how to integrate various tools (e.g., CRM, ATS, social recruiting platforms).Ability to train the recruiting team on new tools and technology that can enhance performance.

Ideal Candidate

Bachelor’s or master’s degree in data science, computer science, HR tech, or a related field.  Prior experience in talent acquisition or TA/HR operations.  tech tools preferred.

Key Responsibilities:

Harvest and analyze recruitment data to uncover patterns and identify inefficienciesConduct research on the latest AI and HR technology trendsIdentify and define key recruitment challenges where AI solutions can add valueApply machine learning algorithms to support predictive analytics in recruitmentIdentify, evaluate, and propose innovative solutions that can further optimize T-Mobile’s recruitment processes based on data driven insights

Achievements by the End of Internship:

Ability to apply data science in recruitmentThrough project-based learning, group sessions, and mentorship, the individual will be equipped with the skills and knowledge to excel in Talent Acquisition AIDefine a problem statement and documented solutionDevelop a final project that addresses a key talent acquisition challenge using AI. 

Minimum Qualifications

At least 18 years of ageLegally authorized to work in the United StatesMust have graduated within the last 12-months, OR  be actively enrolled in a Bachelors or Graduate degree programEmployees of T-Mobile or Metro by T-Mobile are ineligible for Internships

Employer does not sponsor work visas for this position. Note that this also applies to individuals who are students in F-1 status who desire sponsorship after they complete their education.

Relocation assistance may be provided to program participants who reside more than 50 miles from the internship location.

Intern wages range from $20/hour to $40/hour. The successful candidate’s actual pay will be based on experience/location.

Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable!

T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.

Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.