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Work Based Learning Intern Jobs in Chicago, IL (NOW HIRING)

Clinical Intern

Addison, IL · On-site

$15 - $20/hr

The program accepts interns from Master's level Social Work, Counseling, and Art Therapy programs ... or create projects based on agency need and intern interest. OTHER DUTIES AS ASSIGNED:

Clinical Intern

Addison, IL · On-site

$15 - $20/hr

The program accepts interns from Master's level Social Work, Counseling, and Art Therapy programs ... or create projects based on agency need and intern interest. OTHER DUTIES AS ASSIGNED:

i.c.stars |* Chicago

Chicago, IL

$15.50 - $20.50/hr

Intern, you participate in a 16-week paid training program, which includes: * project-based ... learning to build leadership skills and emotional intelligence * core technical skills training in ...

i.c.stars |* Chicago

Chicago, IL · On-site

$15.50 - $20.50/hr

Intern, you participate in a 16-week paid training program, which includes: * project-based ... learning to build leadership skills and emotional intelligence * core technical skills training in ...

Intern Supervisor

Waukegan, IL · On-site

$70K - $80K/yr

This role provides evidence-based clinical supervision, supports intern onboarding and offboarding, coordinates intern access to clinical services and assessments, evaluates intern performance, and ...

District Projects Intern

Wheaton, IL

$14.75 - $19.75/hr

Work Environment: The intern will split time between office-based work and field visits to construction sites and schools. Some travel, including out-of-state, may be required to benchmark best ...

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Work Based Learning Intern information

See Chicago, IL salary details

$9

$17

$25

How much do work based learning intern jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for work based learning intern in Chicago, IL is $17.55, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $19.81 per hour, depending on experience, location, and employer.

What is the difference between Work Based Learning Intern vs Job Shadow?

AspectWork Based Learning InternJob Shadow
CredentialsUsually students or entry-level individuals; no formal certifications requiredNo formal credentials; observational role
Work EnvironmentHands-on tasks, supervised projects, active participationObservation, learning from professionals, minimal active work
Employer & Industry UsageEducational programs, internships, industry trainingCareer exploration, informational experience

Work Based Learning Interns engage in active, hands-on work to develop skills, often as part of educational programs. In contrast, Job Shadows observe professionals to gain insight into a career without performing active tasks. Both roles are valuable for career exploration but differ in participation level and purpose.

What are the most commonly searched types of Work Based Learning jobs in Chicago, IL? The most popular types of Work Based Learning jobs in Chicago, IL are:
Campus AI Research Engineer - Deep Learning (Intern)

Campus AI Research Engineer - Deep Learning (Intern)

Jump Trading

Chicago, IL • On-site

$300K/yr

Full-time, Internship

Posted 7 days ago

New


Job description

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.
Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.
We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research and monetization process. We believe that successful research efforts require a fluid mix of skills including AI/ML expertise, engineering pragmatism, statistics, and market intuition.
What You'll Do:
  • Apply state-of-the-art techniques to complex and challenging domains.
  • Work closely with researchers and quants to build flexible and reusable frameworks for financial ML.
  • Optimize training pipelines to make the best use of our HPC resources.
  • Integrate ML models into production systems where latency matters.
  • Work across a mix of programming languages: C / C++ / Python / CUDA and other low-level GPU languages.
  • Build large-scale ML systems that are observable, performant, and flexible. Help improve productivity by reducing the iteration cycle time on research.
  • Other duties as assigned or needed.

Skills You'll Need:
  • Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research
  • Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs)
  • Solid development skills in Python and/or C++
  • Familiarity with ML libraries/frameworks such as PyTorch, JAX, and/or TensorFlow
  • Intellectual curiosity, versatility, and originality combined with a pragmatic outlook
  • Ability to thrive in a collaborative, team-oriented environment
  • Ability to reason through quantitative problems and communicate effectively with trading researchers
  • Reliable and predictable availability

Bonus Points:
  • Experience with HPC and distributed large model training
  • Experience with GPU performance optimization (CUDA or ROCm)
  • Experience with end-to-end model development
  • Strong opinions on best practices in ML research, tooling, and/or infrastructure

INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions.
The estimated base salary for this role (annualized) is $300,000 per year.