Summer 2026 Machine Learning Engineering Internship
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Job Location:
Atlanta, GA - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
T-Mobile is synonymous with innovationand you could be part of the team that disrupted an entire industry! We reinvented customer service brought real 5G to the nation and now were 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 wont stop!
Get hands-on experience trainingand 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 youll 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. Youll contribute your creativity and outstanding ideas while working alongside T-Mobile employees. Well give you hands-on projects and the chance to create an immediate impact.
What Its 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 Youll 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 candidates actual pay will be based on experience/location.
Never stop growing!
As part of the T-Mobile team you know the Un-carrier doesnt have a corporate ladderits more like a jungle gym of possibilities! We love helping our employees grow in their careers because its that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity youre living our values while investing in your career growthand we applaud it. Youre 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 or calling 1-. 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.
Required Experience:
Intern
Key Skills
- Microsoft Office
- Public Relations
- Google Docs
- Data Collection
- MailChimp
- Microsoft Word
- Dermal Fillers
- Microsoft Powerpoint
- Research Experience
- Microsoft Excel
- Adobe Photoshop
- Writing Skills
About Company
Grow Your Career. Grow With One Join Us #WeAreOne We are driven. We are family. We are One. When you join MobileOne, you join a team of friends who work as hard as they play. You’ll learn how to be a leader, make bank, and most importantly, have fun along the way. With over 200 […] ... View more
