Summer 2026 Machine Learning Engineering Internship

• 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

• 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