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Machine Learning Summer Internship Jobs in Princeton, NJ

Machine Learning Intern (R&D) Location: 5-days in NY office Job Type: Full time (June 15 - Aug 14 ... What You'll Gain Through this internship, you will gain: โ€ข Work on high-impact, real-world AI ...

Lead Machine Learning Engineer

New York, NY ยท On-site +1

$112.10K - $147.70K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Lead Machine Learning Engineer

New York, NY ยท On-site

$112.10K - $147.70K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

The Machine Learning Department invites applications for winter, summer, and fall 2026 internships. We have research projects covering many areas of machine learning. The internship will involve ...

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Machine Learning Summer Internship information

See Princeton, NJ salary details

$26.7K

$44.6K

$92.2K

How much do machine learning summer internship jobs pay per year?

As of May 28, 2026, the average yearly pay for machine learning summer internship in Princeton, NJ is $44,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,100.00 and $48,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Summer Intern, and why are they important?

To thrive as a Machine Learning Summer Intern, you need a solid background in mathematics, statistics, and programming (especially Python), often supported by ongoing coursework in computer science or related fields. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems such as Git, and data analysis tools is typically required. Strong problem-solving skills, curiosity, and teamwork are important soft skills that help interns contribute effectively and learn quickly. These skills and qualities are crucial for applying theoretical knowledge, collaborating on real projects, and adapting to the fast-evolving field of machine learning.

What types of projects can I expect to work on during a Machine Learning Summer Internship?

As a Machine Learning Summer Intern, you can expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of algorithms into production environments. Interns often work alongside data scientists and engineers on real-world datasets to solve business problems, develop prototypes, or improve existing models. This hands-on experience will help you gain practical skills in using popular ML frameworks and understanding the end-to-end machine learning workflow.

What is a Machine Learning Summer Internship?

A Machine Learning Summer Internship is a temporary, typically 8-12 week program for students or recent graduates to gain practical experience in machine learning. Interns work under the supervision of experienced professionals, contributing to real-world projects involving data analysis, model development, and algorithm implementation. These internships often provide mentorship, networking opportunities, and exposure to the latest tools and technologies in the field. They are valuable for building technical skills and improving career prospects in artificial intelligence and data science.

What is the difference between Machine Learning Summer Internship vs Data Science Summer Internship?

AspectMachine Learning Summer InternshipData Science Summer Internship
Required CredentialsBasic programming, math, and machine learning knowledgeProgramming, statistics, and data analysis skills
Work EnvironmentDeveloping ML models, algorithms, and prototypesData analysis, visualization, and reporting
Industry UsageTech companies, AI startups, research labsBusiness, finance, healthcare, tech firms

Both internships involve working with data and require programming skills, but Machine Learning Summer Internships focus on developing algorithms and models, while Data Science Summer Internships emphasize data analysis and insights. The choice depends on your interest in building models versus analyzing data.

What job categories do people searching Machine Learning Summer Internship jobs in Princeton, NJ look for? The top searched job categories for Machine Learning Summer Internship jobs in Princeton, NJ are:
What cities near Princeton, NJ are hiring for Machine Learning Summer Internship jobs? Cities near Princeton, NJ with the most Machine Learning Summer Internship job openings:
Infographic showing various Machine Learning Summer Internship job openings in Princeton, NJ as of May 2026, with employment types broken down into 3% Internship, 18% Full Time, 75% Part Time, 3% Temporary, and 1% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $44,639 per year, or $21.5 per hour.

Summer Internship Program, Health Network (Creative Roles), Summer 2026

Havas Health Inc.

New York, NY โ€ข Hybrid

$18 - $22/hr

Full-time

Posted 24 days ago


Job description

Agency :

Havas Health Network

Job Description :

About Havas
Havas is a global agency network that harnesses the power of creativity, media, and entertainment to drive growth and create meaningful change for the world's leading brands. We're shaping the future of marketing-today. Are you up for the challenge?
About Havas Health Network
We are the world's largest health advertising and communications organization-a diverse community united by one ambition: to help people live healthier, fuller lives.
Health is a powerful force that influences every aspect of life-our choices, relationships, ambitions, and impact on the world. We believe helping people feel better is as much about uplifting the human spirit as it is about treating the body. Our mission is to help brands achieve this through ideas and experiences that inspire and connect.
We create work that changes how people think about health-work that resonates on a deeper level. We embrace untold stories and unspoken truths. At the heart of our culture is a simple principle: help each other thrive.Internship Program Overview

Our 10-week Summer Internship Program runs from June 1 - August 7, 2026, and offers students the opportunity to work alongside innovative thinkers across the Havas network. Interns gain hands-on industry experience in a collaborative, cross-functional hybrid work environment.

Internship Experience

As a Creative Health Intern, you will:

  • Gain insight into health and wellness communications.
  • Collaborate with cross-functional teams and multiple Havas agencies.
  • Work closely with industry leaders and learn from their expertise.
  • Participate in real-world projects and daily department activities.
  • Attend workshops and learning sessions to understand the roles of different departments.
  • Build presentation skills and leverage your personal strengths.
Department Placement

Your placement will be based on your interests, skills, and experience. Opportunities include:

  • Art Direction
  • Copywriting
  • Creative AI Prompt Engineering
  • Design
  • User Experience (UX)
Eligibility
  • Current rising juniors or seniors in an undergraduate program, or recent graduates.
  • Ability to commute on a hybrid basis to one of our offices in New York City.
  • Legally authorized to work in the United States.
Compensation
  • Hourly pay range: $18 - $22.
  • This role is non-exempt and eligible for overtime.
Additional Information
  • Program dates are subject to change.
  • Relocation reimbursement and housing assistance are not provided.
  • Remote internships are not available.

Contract Type :

Intern

Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual's ability to perform their job.