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Machine Learning Ai Intern Jobs in Chicago, IL (NOW HIRING)

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology ... To that end, there are three major components with which an intern should expect to engage.

Machine Learning Intern

Chicago, IL · On-site

$27 - $42/hr

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology ... To that end, there are three major components with which an intern should expect to engage.

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology ... To that end, there are three major components with which an intern should expect to engage.

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology ... To that end, there are three major components with which an intern should expect to engage.

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology ... To that end, there are three major components with which an intern should expect to engage.

Analytics Agentic AI Intern

Chicago, IL · On-site

$15.50 - $20.50/hr

LIFE OF A TMS SUMMER INTERN Here at tms, we care about our people, and we want to help foster their ... learning how AI can improve decision-making around cost, quality, sustainability, and product ...

Analytics Agentic AI Intern

Chicago, IL

$15.50 - $20.50/hr

LIFE OF A TMS SUMMER INTERN Here at tms, we care about our people, and we want to help foster their ... learning how AI can improve decision-making around cost, quality, sustainability, and product ...

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Showing results 1-20

Machine Learning Ai Intern information

See Chicago, IL salary details

$26.3K

$43.9K

$90.7K

How much do machine learning ai intern jobs pay per year?

As of Sep 14, 2026, the average yearly pay for machine learning ai intern in Chicago, IL is $43,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $47,400.00 per year, depending on experience, location, and employer.

What does a Machine Learning AI Intern do?

A Machine Learning AI Intern assists in developing, testing, and deploying machine learning models and algorithms under the supervision of experienced data scientists or engineers. Typical responsibilities include data preprocessing, feature engineering, model evaluation, and documentation. Interns may also help in researching new AI techniques and supporting the integration of models into existing applications. The role provides hands-on experience with machine learning tools, programming languages like Python, and frameworks such as TensorFlow or PyTorch. This internship helps build foundational skills for a career in artificial intelligence and data science.

What types of projects do Machine Learning AI Interns typically work on during their internship?

As a Machine Learning AI Intern, you can expect to work on real-world projects such as developing predictive models, performing data preprocessing and analysis, or contributing to the improvement of existing algorithms. Interns often assist with tasks like data cleaning, feature engineering, and model evaluation, while collaborating closely with data scientists and engineers. This hands-on experience helps interns build practical skills and gain exposure to the entire machine learning workflow in a professional setting.

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

To thrive as a Machine Learning AI Intern, you need a solid foundation in mathematics, programming (often Python), and machine learning concepts, usually supported by coursework or relevant projects. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Curiosity, problem-solving ability, and strong communication skills help interns collaborate effectively and learn quickly in dynamic environments. These skills are crucial for contributing meaningfully to projects, adapting to new technologies, and growing within the fast-evolving AI field.

What is the difference between Machine Learning Ai Intern vs Data Science Intern?

AspectMachine Learning Ai InternData Science Intern
Required CredentialsRelevant coursework, programming skills, basic understanding of ML conceptsStatistics, programming, data analysis skills, often with similar educational background
Work EnvironmentTech companies, startups, research labs focusing on AI/ML projectsVariety of industries including finance, healthcare, tech, focusing on data analysis
Employer & Industry UsagePrimarily in AI/ML development teams within tech and research sectorsAcross industries for data analysis, reporting, and decision-making support

Machine Learning Ai Interns focus on developing and applying AI and ML models, often working closely with data scientists and engineers. Data Science Interns work on analyzing data, creating reports, and supporting data-driven decisions. While both roles require programming and analytical skills, ML Interns typically specialize in AI algorithms, whereas Data Science Interns focus on broader data analysis tasks.

What cities near Chicago, IL are hiring for Machine Learning Ai Intern jobs?

Cities near Chicago, IL with the most Machine Learning Ai Intern job openings:

Infographic showing various Machine Learning Ai Intern job openings in Chicago, IL as of September 2026, with employment types broken down into 100% Internship. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $43,867 per year, or $21.1 per hour.

Quantum Algorithms and Quantum Machine Learning Intern 2027

Chicago, IL

IBM
IT Services • 10K+ employees

Full-time

Posted 3 days ago

New


IBM rating

8.0

Company rating: 8.0 out of 10

Based on 76 frontline employees who took The Breakroom Quiz


Job description

Introduction

IBM Research is seeking an intern to conduct research in quantum algorithms and quantum AI. The work combines quantum computing, machine learning, and scientific computing to develop new methods for learning and simulation and to identify problems where quantum resources may provide advantage over classical counterparts. You will work in a collaborative environment with researchers across quantum algorithms, AI, and the physical sciences.

Your role and responsibilities

As a research intern, you will develop and evaluate quantum algorithms and quantum-classical methods at the intersection of quantum computing and AI. Your project will be defined with your mentor and may involve quantum models for classical or quantum data, hybrid learning workflows, algorithms for simulating physical systems, or theory and benchmarking of quantum and classical learning methods. You will:

  • Develop quantum and hybrid algorithms for scientifically meaningful learning or simulation tasks.
  • Implement research prototypes and benchmark accuracy, resource requirements, and scalability against strong classical methods.
  • Apply these methods to problems involving classical or quantum data in physics, chemistry, materials science, or related domains.
  • Analyze when quantum resources may offer a meaningful advantage and clearly state the assumptions and costs.
  • Present results through technical reports, talks, open-source code, and, where appropriate, a publication or conference submission.

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

  • Enrollment in a graduate program in quantum computing, computer science, physics, applied mathematics, statistics, information theory, engineering, or a related field.
  • Strong foundation in quantum computing and quantum algorithms, with knowledge of linear algebra, probability, optimization, or numerical methods.
  • Research experience in at least one relevant area, such as machine learning, quantum machine learning, quantum simulation, or hybrid quantum-classical methods.
  • Experience implementing research code in Python or a comparable scientific programming language.
  • Ability to conduct independent research, analyze results critically, and communicate technical findings clearly.

Preferred technical and professional experience

  • Experience developing or analyzing quantum algorithms for classical or quantum data.
  • Familiarity with quantum machine learning methods, learning theory, or comparisons between quantum and classical models.
  • Experience with quantum simulation, many-body physics, quantum chemistry, or related scientific applications.
  • Experience with Qiskit, scientific Python libraries, machine-learning frameworks, or Git/GitHub.
  • Experience running experiments on quantum processors or combining quantum measurement data with classical machine learning.

ABOUT BUSINESS UNIT

IBM Research is the organic growth engine of IBM and an innovation engine for our customers and partners. As part of this mission, IBM Research anticipates and examines 'What's Next in Computing' to ultimately create and integrate the technologies the world relies upon to solve big challenges and unlock new opportunities. We create and pioneer new markets for IBM, our partners and customers as exemplified in our ongoing quest to reach practical and large-scale quantum computing. Across IBM Research, we realize the power and potential to accelerate discovery with our partners and clients by combining the power of high performance computing, AI, and Quantum, all integrated through the hybrid cloud.

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

ABOUT IBM

IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

OTHER RELEVANT JOB DETAILS

Supplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 15 days from this date or less if not needed to fill the role. We consider qualified applicants with criminal histories, consistent with applicable law.

The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

Job Title

Quantum Algorithms and Quantum Machine Learning Intern 2027

Date posted

10-Sep-2026

Job ID

132433

City / Township / Village

Chicago

State / Province

Illinois

Country

United States

Work arrangement

Onsite

Area of work

Research

Employment type

Co-Op (Fixed Term)

Contract type

Internship

Projected Minimum Salary per year

74,400.00

Projected Maximum Salary per year

136,400.00

Position type

Internship

Travel required

No Travel

Company

(0147) International Business Machines Corporation

Shift

General (daytime)

Is this role a commissionable/sales incentive based position?

No


What IBM employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


IBM logo

About IBM

Sourced by ZipRecruiter

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

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