Guardian Life Insurance - Digital & Technology, AI & Machine Learning Intern, application via RippleMatch

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New York, NY, USA
In-Office
HR Tech
Early Career Recruiting, Powered By AI
The Role

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

Location (housing is not provided):

  • New York, NY

  • Holmdel, NJ

  • Bethlehem, PA

You have:

  • 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

You will:

  • 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

We offer:

  • 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

Eligibility:

  • 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.

If you have any questions regarding the application process, please feel free to email [email protected].

Salary Range:

$20-$35 per hour



RippleMatch Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RippleMatch and has not been reviewed or approved by RippleMatch.

  • Healthcare Strength Health coverage is described as free for employees and families and includes access to One Medical, Teladoc, and Talkspace. This breadth indicates strong medical and mental-health support for full-time roles.
  • Leave & Time Off Breadth Policies include flexible PTO, paid sick time, 11 paid holidays, a year-end company shutdown, and unlimited mental-health days. This combination suggests generous time-off flexibility.
  • Affordable Benefits Free medical, dental, and vision for employees and dependents point to low employee costs for core coverage. This affordability meaningfully increases overall compensation value.

RippleMatch Insights

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The Company
HQ: New York, NY
50 Employees
Year Founded: 2016

What We Do

We bridge the gap between employers and Gen Z talent by delivering a curated, AI-driven job & internship search experience that aligns with Gen Z’s preferences for personalized experiences and guides them towards the roles best suited for their skills. Unlike high-volume job boards, RippleMatch delivers intentional, curated matches to recruiters – reducing time spent on resume review and entirely eliminating cold messaging.

Why Work With Us

When you join RippleMatch, you join a group of people committed to changing how early career hiring works and the way opportunity is distributed. Our team works hard, has fun, iterates quickly, and constantly strives to improve. We pride ourselves on being thoughtful, caring, and supportive of each other.

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