Life insurance - digital technology machine learning application
This role is with Guardian Life Insurance. Guardian Life Insurance uses RippleMatch to find top talent.
2026 Guardian Summer Intern, Digital & Technology – AI & Machine Learning Our 2026 Internship Program is a paid 10-week learning experience where you will be immersed in the daily environment of a thriving global financial services company. You will gain invaluable industry and organizational knowledge through daily business interactions and job assignments, in addition to engaging in projects that directly affect our business, interact with senior leaders in conversational settings, and network with employees and interns across our offices. This 10-week internship provides you with realistic experiences and information of what it is like to work at Guardian. Internship Dates: The internship program will run from Thursday, May 28, 2026 - Friday, August 7, 2026 . We review applications on a rolling basis, and we encourage you to apply as soon as you are ready. The application window will close on Friday, November 14, 2025, at 11:59PM ET or when role(s) have been filled, whichever comes first. You are:- A rising senior (graduation date of December 2026- May 2027) or rising junior (graduation date of December 2027-June 2028) who is fueled by collaboration, able to listen and make quick decisions and thrive in a goal-oriented environment
- Currently pursuing an Undergraduate degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline
- New York, NY
- Holmdel, NJ
- Bethlehem, PA
- Experience in programming, preferably in Python, and familiarity with common AI libraries and frameworks.
- Knowledge of essential AI concepts, including machine learning, deep learning, natural language processing, computer vision, and reinforcement learning.
- Excellent problem-solving skills with the ability to thrive in a demanding fast-paced work environment
- Strong interpersonal and communication skills and a willingness to collaborate cross-functionally with different teams
- Passion for learning and innovation
- Participate in the design, development, and implementation of Generative AI applications, digital assistant solutions
- Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
- Conduct research and stay updated on the latest advancements in natural language processing (NLP), machine learning, and LLM technology.
- Have the opportunity to work and learn from supportive leaders, mentors and team members across the organization who will help coach you as you develop your professional career
- Learn about Guardian's purpose, values, how we work, and our suite of product and service offerings
- Build a network of colleagues and have a sense of community with other interns and other parts of the business
- Think broadly and ask questions about data, facts and other information
- Be a self-starter – someone who enjoys "rolling up their sleeves and getting things done", has high energy, strong work ethic, displays the ability to work independently, and is creative
- Meaningful and challenging work opportunities to accelerate innovation in a secure and compliant way
- Dynamic, modern work environments that promote collaboration and creativity to develop and empower talent
- Employee Resource Groups that advocate for inclusion and diversity in all that we do
- Social responsibility in all aspects of our work- we volunteer within our local communities, create educational alliances with colleges, and drive a variety of initiatives in sustainability
- Applicants must be eligible to work in the U.S. without company sponsorship, now or in the future, for employment-based work authorization. F-1 visa holders with Optional Practical Training (OPT) who will require H-1B status, TNs, or current H-1B visa holders will not be considered. H1-B and green card sponsorship are not available for this position.
- You must be available for the full program dates of the internship program.
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