Artificial Intelligence Intern

At Pitney Bowes, we do the right thing, the right way. As a member of our team, you can too.

We have amazing people who are the driving force, the inspiration and foundation of our company. Our thriving culture can be broken down into four components: Client. Team. Win. Innovate.

Job Description:

A Pitney Bowes Internship prepares students for the rigors of the working world while providing a professional and engaging learning experience. Our internships offer meaningful work with the potential to directly impact our business (learn while doing). In addition to challenging work, interns grow their professional networks. From Day 1, they have the opportunity to network with fellow interns from schools across the country as well as PB employees at all levels of the organization.

Our vision is to offer undergraduate and masters students an engaging and thought-provoking learning experience while impacting our business in a meaningful way by:

• PROJECTS: Interns are spread throughout our businesses. Each intern manager will provide intentional learning objective goals and assign real-life projects to own and drive during the summer

• SUPPORT: Each intern will be paired up with a mentor who will provide guidance, support, and insight into The PB Way!

• PAY: The wage range for this position is $22 to $2 per hour, with the actual pay dependent on your, education level, skills and experience as they relate to the job requirements.

• JOB OFFERS: The intern program may only last 10-weeks, June 1st - August 7th, but we don’t want the experience to end there. Our top interns are often offered extended internships or future job opportunities at Pitney Bowes

This internship is ONSITE in Shelton, CT. Candidates must be able to work in person for the full 10‑week program.

Join the SendTech Engineering Organization as an AI/ML Intern and work with the AI Center of Excellence and engineering teams on real projects involving machine learning, generative AI, automation, and data engineering. This internship gives you hands‑on experience, mentorship, and the chance to contribute to impactful solutions.

You Will:

• Assist in developing and testing machine learning models for prediction, classification, and generative tasks.

• Support AI workflows through data preparation, feature exploration, and basic deployment steps.

• Build prototypes and proof‑of‑concept tools using Python and cloud technologies.

• Analyze datasets to uncover insights that support product or process improvements.

• Help document experiments and summarize model performance.

• Work with engineering mentors to troubleshoot and refine AI components.

You Bring:

• Strong Python programming skills.

• Basic understanding of machine learning concepts (e.g., supervised learning, NLP, deep learning).

• Familiarity with ML libraries such as scikit‑learn, LangGraph, TensorFlow, or PyTorch.

• Interest in generative AI, LLMs, or retrieval systems is a plus.

• Ability to work with datasets and create simple analyses or visualizations.

• Curiosity, communication skills, and a willingness to learn.

Preferred Background

• Coursework in AI, ML, Data Science, Computer Science, or related fields.

• Exposure to cloud platforms like AWS or GCP.

• Experience from school projects, research, hackathons, or personal projects.

We will:

• Provide the opportunity to grow and develop your career
• Offer an inclusive environment that encourages diverse perspectives and ideas
• Deliver challenging and unique opportunities to contribute to the success of a transforming organization
• Offer comprehensive benefits globally (PB Live Well)

Pitney Bowes is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard for race, color, sex, religion, national origin, age, disability (mental or physical), veteran status, sexual orientation, gender identity, or any other consideration made unlawful by applicable federal, state, or local laws.

All qualified applicants, including Veterans and Individuals with Disabilities, are encouraged to apply.

All interested individuals must apply online. Individuals with disabilities who cannot apply via our online application should refer to the alternate application options via our Individuals with Disabilities link.