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.
As a Machine Learning Engineering Intern, you are required to understand enabling systems for coding, deploying, and maintaining large-scale machine learning models throughout their lifecycle.
You will collaborate with a multidisciplinary team of technical and non-technical business stakeholders on a wide range of challenges.
You should understand the entire machine learning (ML) lifecycle, including software engineering, data collection, model deployment, and operationalization.
You will learn to deploy and monitor Machine Learning models to extract value out of data for T-Mobile.
What you'll do :
Employ a combination of skills including programming and machine learning theory to solve complex problems.
Assemble large and complex datasets that meet functional and non-functional business requirements.
Collaborate with Data Scientists, Data Engineers and the product team for building data ingestion and model training pipelines.
Preferred Qualifications :
Currently enrolled in a graduate degree program (Masters, MBA, Juris Doctorate, or PhD) in Data Science, Statistics, Data Analytics, Computer Science, or related field.
Experience with data scripting languages (e.g., Python and / or R, and SQL, etc.)
Experience in data visualization
Machine Learning (classification, regression, clustering)
Strong communication skills, ability to work with cross-functional teams
Minimum Qualifications
At least 18 years of age
Legally authorized to work in the United States
Must have graduated within the last 12-months, OR be actively enrolled in a Bachelors or Graduate degree program
Employees 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 -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.