Summer 2026 Machine Learning Engineering… at T-Mobile · Atlanta

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.

What It's Like:

Our team builds AI solutions that improve customer experience and help resolve customer issues efficiently at scale. We focus on AI observability by developing tools and frameworks to monitor, evaluate, and improve machine learning and LLM-based systems. Our scope includes model evaluation (Evals), performance monitoring, and data-driven insights to ensure AI solutions are reliable, trustworthy, and production-ready. By enabling visibility into AI behavior, we help accelerate innovation while delivering smarter and more dependable customer-facing experiences across T-Mobile.

What You'll Do:

This role will focus on ML engineering projects, building scalable training and inference pipelines, APIs, and service integrations. The work includes designing and running model evaluations (Evals), including offline and online testing, to assess model quality, accuracy, and performance. The role will also contribute to MLOps and reliability efforts by implementing model versioning, CI/CD workflows, and drift detection for production systems. Additionally, the scope includes translating research ideas and early prototypes into production-ready machine learning solutions, accelerating experimentation and deployment across the team.

Key Responsibilities:

• Build and maintain scalable ML training and inference pipelines, APIs, and service integrations.

• Develop and optimize model serving and inference workflows, focusing on performance, latency, and scalability.

• Implement MLOps best practices, including model versioning, CI/CD workflows, and drift detection.

• Convert research ideas and prototypes into production-ready machine learning systems.

What It Takes:

• Experience building or experimenting with real-world ML systems, not just models

• Exposure to LLMs or applied AI tools (prompting, RAG, fine-tuning)

• Participation in research, hackathons, or open-source ML projects

• At least 18 years of age
• Legally authorized to work in the United States
• Must 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 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.