Summer 2026 Machine Learning Engineering Internship jobs in United States
cer-icon
Apply on Employer Site
company-logo

T-Mobile · 3 hours ago

Summer 2026 Machine Learning Engineering Internship

T-Mobile is a leading innovator in the wireless industry, and they are offering a summer internship for aspiring machine learning engineers. Interns will gain hands-on experience in building scalable ML systems, developing APIs, and implementing MLOps best practices to enhance customer experience through AI solutions.

InternetMobileTelecommunicationsWireless
badNo H1Bnote

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

Qualification

Machine Learning SystemsMLOpsModel EvaluationAPIsLLMsCI/CD WorkflowsData-Driven InsightsPerformance MonitoringSoft Skills

Required

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

Benefits

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

Company

T-Mobile

company-logo
T-Mobile is a telecommunications company that provides wireless communication services, including mobile phone and internet services. It is a sub-organization of Deutsche Telekom.

Funding

Current Stage
Public Company
Total Funding
$17.37B
2026-01-05Post Ipo Debt· $2B
2025-10-06Post Ipo Debt· $2.8B
2024-09-23Post Ipo Debt· $2.5B

Leadership Team

leader-logo
John Saw
President of Technology, Chief Technology Officer
linkedin
leader-logo
Peter Osvaldik
EVP & CFO
linkedin
Company data provided by crunchbase