New Jersey Institute of Technology (NJIT) AI/ML Engineering Summer 2025 Internship - Verizon Wireless : Job Details

You want more out of a career. A place to share your ideas freely — even if they're daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the V Team Life.

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, TensorFlow, 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.

You must be currently enrolled in a degree program and be in good academic standing to be considered. In this hybrid internship, you'll have a defined work location that includes work from home and assigned office days set by your manager. This hybrid internship will be based out of Basking Ridge, NJ. If relocation is required, relocation assistance may be available.

You're a motivated self-starter. Never satisfied with the status quo, you're always trying to perform at your personal best. You thrive in a fast-paced environment where new challenges come up every day. You are flexible, dependable, and work well in varying environments. Learning quickly is personally rewarding and inspires you to take smart risks.

You'll need to have:

• 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 New Jersey Institute of Technology (NJIT) in a Bachelor's or Master's degree majoring in Telecommunications, Information Technology, Engineering, Data Analytics, Data Science or related majors with a completion date between December 2027 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.

Even better if you have one or more of the following:

• 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.

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don't meet every even better qualification listed above.

In this hybrid role, you'll have a defined work location that includes work from home and a minimum eight assigned office days per month that will be set by your manager.

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We're proud to be an equal opportunity employer - and celebrate our employees' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best.