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Machine Learning Intern Jobs in Alsip, IL (NOW HIRING)

Engineering Intern / Co-op

Chicago, IL · On-site

$35 - $55/hr

Understanding of machine learning / signal processing fundamentals * Comfort with linear algebra * Experience with web development (especially TypeScript / Vue) * Experience with ROV / AUV hardware ...

Engineering Intern / Co-op

Chicago, IL · On-site

$35 - $55/hr

Understanding of machine learning / signal processing fundamentals * Comfort with linear algebra * Experience with web development (especially TypeScript / Vue) * Experience with ROV / AUV hardware ...

Engineering Intern / Co-op

Chicago, IL · On-site

$35 - $55/hr

Understanding of machine learning / signal processing fundamentals * Comfort with linear algebra * Experience with web development (especially TypeScript / Vue) * Experience with ROV / AUV hardware ...

As a Quantitative Trading Analyst Intern , you will gain exposure to the dynamic worlds of trading ... machine learning techniques to market tick data for automated trading * Be given immediate ...

As a Software Developer Intern , you will build advanced trading and risk applications leveraging ... Machine Learning, or any related science discipline and have an expected graduation date between ...

District Projects Intern

Wheaton, IL

$14.75 - $19.75/hr

Hours per week may vary based on project needs and intern availability, with flexibility for both intensive periods and lighter weeks depending on deadlines and milestones. For detailed information ...

Director of Data Science

Chicago, IL · On-site +1

$153K - $229K/yr

Drive modernization through advanced modeling techniques, machine learning, and AI to enhance ... Support hiring and onboarding, including intern and actuarial student rotations. Strategic ...

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Machine Learning Intern information

See Alsip, IL salary details

$26K

$43.4K

$89.6K

How much do machine learning intern jobs pay per year?

As of Jul 17, 2026, the average yearly pay for machine learning intern in Alsip, IL is $43,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,100.00 and $46,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a Machine Learning Intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

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

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What Does a Machine Learning Intern Do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What cities near Alsip, IL are hiring for Machine Learning Intern jobs? Cities near Alsip, IL with the most Machine Learning Intern job openings:
(Hybrid) Community Impact, Fall Intern

(Hybrid) Community Impact, Fall Intern

The Chicago Community Trust

Chicago, IL

$20/hr

Internship

Posted 2 days ago


Job description

Title: Community Impact, Fall Intern

Department: Community Impact

Reports To: Manager, Homeownership & Home Equity and Manager, Policy Change

Direct Reports: N/A

Classification: Internship

FLSA Status: Non-Exempt

Job Grade: N/A

Compensation: $20/hour

Schedule: 21 hours/week (Hybrid: 2 days in office, 1 day remote)

Duration: 16 weeks, Fall 2026 (August 25 - December 10)

About the Internship Program

Our Fall Internship Program offers students the opportunity to gain hands-on experience in philanthropy, community engagement, operations, and organizational strategy. Interns work alongside staff across multiple departments.

The Policy Change Team supports and engages in policy and advocacy to realize the systemic reforms necessary to achieve the Trust's strategic goals. The teams work to support the landscape of organizations and coalitions working to reform inequitable laws and policies that created and perpetuated the racial and ethnic wealth gap.

The Homeownership and Small Business Team focuses on supporting households that have faced systemic barriers to building wealth in two areas where the Trust believes it can have the greatest impact: (1) increasing homeownership and home equity and (2) boosting income and financial assets.

What You'll Do

The intern has an active role in supporting both the Homeownership and Policy Change teams through their work in developing learning memos, presenting findings, and participating in convenings to further develop the intern's presentation and writing skills while advancing the learning agenda of the Trust.

Expected Assignments:

  • Review existing impact frameworks for funding programs to determine alignment with priorities; make recommendations based on past grantmaking.

  • Participate in meetings with potential grant applicants, documenting important information, and providing feedback on alignment with strategic priorities.

  • Review existing impact frameworks for funding programs to determine alignment with Homeownership and Policy Change priorities; make recommendations based on past grantmaking.

  • Track, document, and assess opportunities to increase access to capital aligned with Homeownership and Small Business priorities.

  • Participate in meetings with potential grant applicants, document important information, and provide feedback on alignment with strategic priorities.

  • Research and provide background memos on key policy issues and policy reform proposals to inform potential Trust engagement.

  • Complete other duties as assigned.

Work Environment

This internship follows a hybrid schedule:

  • 2 days in office (Tuesday, Thursday)

  • 1 day remote

Timeline

This posting will close at 4:59PM CST on Friday July 24, 2026.

  • Application Cycle (7/15 - 7/24)

  • Applicant Screens (7/27 - 7/31)

  • In Person Interviews (8/3 - 8/7)

  • Intern Selection and Notifications (8/10 - 8/14)

  • Internship Onboarding (8/25 - 8/27)


Position Qualifications

We welcome applicants from a wide range of academic backgrounds, including (but not limited to): Rising Senior - Graduate level Public Policy; Political Science; Public Administration; Urban Planning; Sustainable Urban Development; Community Development; Social Science, Economics; Business; Social Work; Law; or other related fields.

Preferred Qualifications

  • Project coordination
  • Experience working with multiple teams/leaders at the same time

Thank you for your interest in joining our mission. We look forward to hearing from you!