
Summer 2027 AI Engineering Internship
Bellevue, WAFull-time$27–50/hrPosted 6 days agoStill listed 1 day ago
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At a glance
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Job overview
This 11-week paid learning experience places an intern alongside senior AI Engineers to develop, deploy, and maintain production-grade AI-native solutions. The team works on churn retention, cross- and upsell, and AI for IT, with initiatives affecting customer care, retail, and marketing. Interns receive hands-on projects, training, and mentorship while contributing to customer-facing work.
Skills & qualifications
Skills
Qualifications
Benefits
Full 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.
T-Mobile didn’t become a leader by following the playbook. We got here by breaking it. We’re a disruptor that now plays on a higher tier, and we’re still raising the bar for millions of customers nationwide. If you want to work somewhere that sets the standard instead of matching it, this is your place.
This is an 11-week paid learning experience where you’ll do real work, not busywork. You’ll build relationships with other interns and leaders across the company, and you’ll be paired with mentors who will challenge you to grow skills that matter. We’ll give you hands-on projects with real stakes, and we expect your creativity and sharp ideas to make an immediate impact. You’ll work alongside T-Mobile employees who have your back and who still believe the best ideas can come from anyone.
What It's Like: My team delivers end to end AI-Native solutions for churn retention, cross and upsell for revenue generation, and AI for IT. IT for IT is a broad term for solving IT related problems using AI. Our work has an impact on how we provide customer care, and how T-Mobile conducts the marketing campaigns for cross and upsell of our products and services. In the process, we generate over $100M incremental revenue every year that is directly attributed to the AI-Native solutions that we developed, deployed and maintain.
What You'll Do: You will work with senior AI Engineers to develop, deploy, and maintain production grade AI-Native solutions. You will get to work, learn and interact with a world class talent that will be working on cutting edge, high impact, customer facing care, retail, marketing and similar initiatives.
Key Responsibilities: Requirement analysis, data processing, model development and evaluation (LLMs mainly), and deployment, integration and maintenance.
What It Takes: A relevant undergrad enrollment is a minimum requirement, enrollment in Masters program and any relevant certifications and/or experience are a plus
Minimum Qualifications
- At least 18 years of age
- Legally authorized to work in the United States now and in the future
- Must have one or more course(s) remaining in a Bachelors or Graduate degree program post internship
- Employees of T-Mobile or Metro by T-Mobile are ineligible for external Summer Internships, please see Magenta Accelerator if interested
Relocation assistance will be provided to program participants who reside more than 50 miles from the internship location.
Intern wages range from $27/hour to $50/hour. The successful candidate’s actual pay will be based on education/STEM vs non-STEM designation.
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, genetic information, 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 [email protected] 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.
How this job compares
Set against the 1,355 open AI Engineering jobs on Olive Jobs, counted November 11, 2026.
- Pay
- This posting$27–50/hr
- US median$26–46/hr43 hourly ranges
This range's midpoint, $38.50/hr, is 7% above the US median midpoint ($36/hr) — in the top quarter of AI Engineering hourly ranges across the US.
- Openings
- Olive Jobs lists 50 open AI Engineering jobs in Washington and 1,355 across the US. 9% of them nationwide are listed as remote or flexible.
- Hiring the most in Washington
- Accenture15 open
- Microsoft Corporation9 open
- Amazon8 open
- Experience
- AI Engineering postings that state a minimum ask for 7 years of experience at the median; the middle half ask for 5 to 10 years (1,220 postings).
- Education
- 482 of the 1,355 open AI Engineering jobs (36%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 11, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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