Intern

Posted 7 Days Ago
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Sector 142, Gautam Buddha Nagar, Uttar Pradesh
Internship
Information Technology • Logistics • Financial Services
The Role
Interns assist in AI research and development, focusing on LLMs and NLP models, while collaborating with teams to create prototypes.
Summary Generated by Built In

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.

We actively look for prospects who:
•    Are passionate about client success.
•    Enjoy collaborating with others.
•    Strive to exceed expectations.
•    Move boldly in the quest for superior and best in market solutions.

Job Description:

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!

About the Opportunity:

As an AI/LLM Intern, you will assist in the research, development, and testing of AI applications using Large Language Models like GPT, LLaMA, Claude, and others. You’ll work closely with data scientists, product managers, and engineers to build cutting-edge prototypes and contribute to real-world AI-driven systems.

  • Assist in building, fine-tuning, and evaluating LLMs and NLP models.
  • Conduct research on prompt engineering, few-shot learning, and model alignment.
  • Collect, clean, and annotate data for model training and evaluation.
  • Create and test APIs that integrate with LLM-based applications.
  • Explore frameworks like LangChain, LlamaIndex, and HuggingFace Transformers.
  • Collaborate with cross-functional teams to translate business needs into AI solutions.
  • Present findings and prototypes to the team with clarity and documentation.

About Us

For over 100 years, Pitney Bowes has been a leading Global Technology company innovating and delivering technology solutions that simplify sending. An industry leader, Pitney Bowes continuously invests in research and development to create new products and solutions that simplify the fast-changing world of ecommerce for our clients.

We will:

• Provide the will: 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 opportunity employer that values diversity and inclusiveness in the workplace.
All interested individuals must apply online.

Top Skills

Ai Applications
APIs
Claude
Gpt
Huggingface Transformers
Langchain
Large Language Models
Llama
Llamaindex
Nlp
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The Company
HQ: Stamford, CT
12,066 Employees
On-site Workplace
Year Founded: 1920

What We Do

Pitney Bowes (NYSE:PBI) is a global shipping and mailing company that provides technology, logistics, and financial services to more than 90 percent of the Fortune 500. Small business, retail, enterprise, and government clients around the world rely on Pitney Bowes to remove the complexity of sending mail and parcels. For additional information visit Pitney Bowes at www.pitneybowes.com.

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