**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:** 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 $24 to $28 per hour, with the actual pay dependent on your skills and experience as they relate to the job requirements. + **JOB OFFERS** : The intern program may only last 10-weeks, June 9th - August 18th, 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 **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. **About You** We take pride in our internship programs. Many participants will choose to continue with Pitney Bowes upon graduation. Our selection process is therefore focused on the highest quality candidates that demonstrate a rigorous academic curriculum as well as having established themselves with authentic projects pursued in and outside the classroom. As a Data Science intern, you have + Solid understanding of Python and libraries such as PyTorch, TensorFlow, Transformers, or similar. + Familiarity with NLP concepts (tokenization, embeddings, attention mechanism). + Curiosity, a strong problem-solving mindset, and a willingness to learn rapidly. ​ _Preferred:_ + Experience with OpenAI API, HuggingFace, or similar LLM platforms is a plus. + Experience with vector databases (e.g., AWS OpenSearch, Pinecone, FAISS, Weaviate) preferred. + Familiarity with AWS Bedrock, and LLMs, LangChain, LlamaIndex, or similar orchestration tools preferred, + Understanding of ethical AI, model biases, and prompt safety preferred. Educational Background: + Currently enrolled in a degree program in Computer Science, Data Science, Artificial Intelligence, or a related field. **Location:** + This will be a Hybrid role. This position currently works four (4) days out of our Shelton office with the option to work from home one (1) day per week. This hybrid status may change based on business need. (No relocation assistance offered) **Sponsorship:** + Must be legally authorized to work in the US. Employer will not sponsor position for employment visa status now or in the future (ex. H-1B) **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 (https://careers.pitneybowes.com/global/en/pb-live-well) ) All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. **Women / Minorities / Veterans /** **LGBTQ+ /** **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.  Pitney Bowes is an Equal Employment Opportunity/Affirmative Action Employer that values diversity and inclusiveness in the workplace. Women/Men/Veterans/Individuals with Disabilities/LGBTQ 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.