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2027 Guardian Summer Intern, Digital & Technology – AI & Machine Learning

Pay
$20–35Period not stated. Location-specific pay — pay source
Salary Range: $20.00 - $35.00 The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

New graduates
For current studentsJob title: 2027 Guardian Summer Intern, Digital & Technology – AI & Machine Learning
Work authorization
Citizens or permanent residents onlyH1-B and green card sponsorship are not available for this position

What you’ll work on

Full posting
  • Help design, develop and implement Generative AI applications and digital assistants

  • Turn business requirements into technical specifications with cross-functional teams

  • Research advances in NLP, machine learning and LLM technology

From the employer’s posting
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

What you’ll bring

All qualifications

Core experience

  • Experience in software development, Python, TypeScript, JavaScript, or your favorite programming language, and familiarity with common libraries and frameworks
  • Knowledge and strong interest in AI concepts, such as LLMS, Agents, MCPs, AI Skills, Context Engineering, and AI Coding Harnesses such as Claude Code, OpenAI Codex, Github Copilot, Hermes
Qualification wording
Experience in software development, Python, TypeScript, JavaScript, or your favorite programming language, and familiarity with common libraries and frameworks
Knowledge and strong interest in AI concepts, such as LLMS, Agents, MCPs, AI Skills, Context Engineering, and AI Coding Harnesses such as Claude Code, OpenAI Codex, Github Copilot, Hermes
Apply at Guardianlife

Posting record

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Status in our records
Live
First seen by us
Sep 15, 202650 days ago
Recorded sightings
92
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 50

Similar jobs usually come down between day 6 and day 69.

From 4,284 similar postings that came down. Coming down is not always a hire.

Guardianlife is hiring

7 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down at a usual pace
  • 14% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • JavaScript
  • Python
  • TypeScript
Where the posting names them
Required Qualifications: - Experience in software development, Python, TypeScript, JavaScript, or your favorite programming language, and familiarity with common libraries and frameworks - Knowledge and strong interest in AI concepts, such as LLMS, Agents, MCPs, AI Skills, Context Engineering, and AI Coding Harnesses such as Claude Code, OpenAI Codex, Github Copilot, Hermes

Your next step

Complete your application on guardianlife.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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Already applied? Track this application

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

2027 Guardian Summer Intern, Digital & Technology – AI & Machine Learning  

Our 2027 Summer 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.

For all roles, teams are assigned mid-spring. Doing so offers the ability to assign program participants to real-time, business-critical needs. 

Internship Dates:

The internship program will run from Thursday, May 27, 2027- Friday, August 6, 2027.

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 13th, 2026, at 11:59PM ET or when role(s) have been filled, whichever comes first.

You are:

A current junior (graduation date of December 2027 or May 2028) or current sophomore (graduation date of December 2028 or May 2029) who is fueled by collaboration, able to listen and make quick decisions and thrive in a goal-oriented environment. 

Location (Housing is not provided):

  • Bethlehem, PA
  • New York, NY
  • Holmdel, NJ

You have:

Required Qualifications: 

  • Experience in software development, Python, TypeScript, JavaScript, or your favorite programming language, and familiarity with common libraries and frameworks   
  • Knowledge and strong interest in AI concepts, such as LLMS, Agents, MCPs, AI Skills, Context Engineering, and AI Coding Harnesses such as Claude Code, OpenAI Codex, Github Copilot, Hermes 
  • 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:

  • 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 
  • 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

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
  • Colleague Engagement Communities that create inclusive spaces where you can feel valued and connected
  • Social responsibility in all aspects of our work- we volunteer within our local communities, create educational alliances with colleges, 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 Guardian_Campus@glic.com.

Salary Range:

$20.00 - $35.00

The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.


Our Promise


At Guardian, you’ll have the support and flexibility to achieve your professional and personal goals.  Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.


Inspire Well-Being


As part of Guardian’s Purpose – to inspire well-being – we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at www.guardianlife.com/careers/corporate/benefits. Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits.


Equal Employment Opportunity


Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.


Accommodations


Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact MyHR@glic.com. Please note: this resource is for accommodation requests only. For all other inquires related to your application and careers at Guardian, refer to the Guardian Careers site.


Visa Sponsorship


Guardian Life is not currently or in the foreseeable future sponsoring employment-based visas (e.g., such as an H-1B). In order to be a successful applicant, you must be legally authorized to work in the United States, without the need for employer sponsorship/support now or at any time in the future.


Notice Regarding Guardian’s Use of Artificial Intelligence in Recruitment

 

As part of Guardian’s job application process, Guardian may use artificial intelligence tools (“AI Tools") to automate the sorting and filtering of information provided by applicants as part of its preliminary screening. This preliminary screening may be used to help identify applicant materials and resumes relative to their indication that the applicant meets the requirements for the specific job for which they are applying, as specified in the listing posted on Guardian’s jobs website (Careers at Guardian at https://www.guardianlife.com/careers). At Guardian, we do not use AI Tools to substantially assist or replace human judgment or discretionary decision making in our hiring process. All hiring decisions will be made by Guardian colleagues.

 

Please be aware that if you apply for a specific position with Guardian, you will have the choice of opting out of Guardian’s use of AI Tools during the job application process. If you would like to request an alternative process that does not utilize AI Tools or would like to request a reasonable accommodation, within ten business days of your position application, you must email your request to MyHR@glic.com, making sure to provide your name and job requisition identification number. Guardian will retain your applicant materials and resume and all information therefrom in accordance with Guardian’s document retention policy, a copy of which you may request via MyHR@glic.com.

 

Additionally, at applicable times, Guardian will make public the most recent bias audit results for such AI tools, which may be found here. 


Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.

Source details

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Pay
Salary Range: $20.00 - $35.00 The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.
Location & working pattern

New York

Working pattern and location restrictions need checking in the full posting.

Work authorization
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.

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