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Virginia Tech AI/ML Engineering Summer 2025 Internship

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Verizon

Sep 26

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Data
    Software Engineering
  • Ashburn

Requirements

  • Ability to participate in our hybrid 10-week internship that takes place from June 2, 2025 to August 8, 2025 working a full-time schedule.
  • Current enrollment at Virginia Tech in a Bachelor’s or Master’s degree majoring in Telecommunications, Information Technology, Engineering, Data Analytics, Data Science, Computer Science, or related majors with a completion date between December 2026 and June 2028.
  • Coursework or demonstrated experience in scripting and coding (ex: Python, Java).
  • Authorization to work in the U.S. without restrictions or need for future sponsorship.
  • Willingness to travel and work in an assigned Verizon office.
  • Demonstrated strong written and communication skills.
  • Experience in Microsoft Office and/or Google Suite.
  • Knowledge of deep learning (ex: CV models and other data models).
  • Knowledge of API Integration, Integrating AI models with software development life cycle.
  • Familiarity with AI/ML - Anomaly detection, Data Visualization Supervised and unsupervised learning, Deep learning networks, Natural Language Processing or Computer Vision, Recommender Systems, Python, Software/ML tools.

Responsibilities

  • This position is for an AI/ML Engineering intern. Some of the projects you may work on could enhance your skills in one or more of the following areas:
  • 5G Technology.
  • AR/VR and Computer Vision.
  • Logical data modeling: development tools & languages; Python, TenorFlow, Ansible, Jupyter.
  • Data Warehousing: DB/SQL, NoSQL.
  • Deep Learning: Natural language processing; computer vision, ontologies, speech analytics.
  • Machine Learning: anomaly detection, Bayesian statistics, causal inference, NLP, data visualization, digital signal processing, dimensionality reduction techniques, ethics & fairness management, reinforcement learning.
  • Big Data Development: Hive, Impala, Spark, Kafka.
  • Cloud Solutions: experience with cloud infrastructure.
  • Visualization: Tableau, Power BI, Looker, Shiny.
  • API Integration.

FAQs

What is the duration of the internship?

The internship lasts for 10 weeks, from June 2, 2025, to August 8, 2025.

Is this internship only for Virginia Tech students?

Yes, this internship is specifically for students enrolled at Virginia Tech. Candidates from other institutions should apply to different roles.

What are the primary responsibilities of the AI/ML Engineering intern?

The intern will work on projects related to areas like 5G technology, computer vision, machine learning, deep learning, big data development, and API integration, among others.

What educational qualifications are required for this internship?

Candidates must be currently enrolled in a Bachelor’s or Master’s degree program in Telecommunications, Information Technology, Engineering, Data Analytics, Data Science, Computer Science, or related majors with a completion date between December 2026 and June 2028.

What skills are preferred for this internship role?

Preferred skills include strong written and communication skills, experience with Microsoft Office or Google Suite, knowledge of deep learning, API integration, and familiarity with AI/ML concepts like anomaly detection and natural language processing.

Is relocation assistance available for this internship?

Yes, relocation assistance may be available if required.

Will I have to work in an office or can I work entirely from home?

This is a hybrid internship, which means you will work from home as well as have designated office days set by your manager.

What are the scheduled hours for this internship?

The internship requires a full-time schedule of 40 hours per week.

Is there an opportunity for mentorship during the internship?

Yes, interns will have the opportunity to network with V Teamers, find mentors, and establish meaningful relationships.

Do I need authorization to work in the U.S. for this internship?

Yes, candidates must have the authorization to work in the U.S. without restrictions or the need for future sponsorship.

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