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Learning Intern Jobs in Illinois (NOW HIRING)

Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a ... Available to intern during Summer 2027. * Open to full-time opportunities upon graduation. * Strong ...

Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a ... Available to intern during Summer 2027. * Open to full-time opportunities upon graduation. * Strong ...

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Learning Intern information

What are the key skills and qualifications needed to thrive as a learning intern?

To thrive as a Learning Intern, you need strong organizational skills, a willingness to learn, and a basic understanding of educational principles, often supported by ongoing studies in education or a related field. Familiarity with learning management systems (LMS), online collaboration tools, and basic office software is typically required. Strong communication, adaptability, and teamwork make a candidate stand out in this role. These skills and qualities are vital for effectively supporting educational programs and adapting to the dynamic needs of learners and educators.

What is a learning intern?

A Learning Intern is typically a student or recent graduate who works temporarily within an organization to gain practical experience in educational programs, training, or instructional support. Their responsibilities may include assisting with curriculum development, supporting classroom activities, conducting research, and helping with administrative tasks related to learning initiatives. The internship is designed to provide valuable insights into educational practices and help interns build relevant skills for future careers in education or training.

What types of projects or tasks can a learning intern expect to work on during their internship?

As a Learning Intern, you’ll typically be involved in supporting the development and delivery of training materials, assisting with e-learning modules, and helping coordinate workshops or webinars. You may also be tasked with evaluating training effectiveness through surveys or feedback, conducting research on learning best practices, and collaborating with instructional designers or trainers. This hands-on experience provides a comprehensive view of the learning and development process, and offers opportunities to build practical skills in content creation, project coordination, and stakeholder communication.

What is the difference between Learning Intern vs Training Coordinator?

AspectLearning InternTraining Coordinator
Required CredentialsTypically pursuing or recent graduate, some internships may require coursework in education or related fieldsUsually requires a degree in education, human resources, or related field; experience preferred
Work EnvironmentInternship setting, often in corporate training departments or educational institutionsOffice environment, managing training programs and coordinating sessions
Employer & Industry UsageCommon in corporate, nonprofit, and educational sectors for entry-level training supportUsed across industries to organize and oversee employee training initiatives

The Learning Intern role is typically an entry-level position aimed at gaining experience in training and education, often held by students or recent graduates. In contrast, the Training Coordinator manages and implements training programs, requiring more experience and responsibility. Both roles support employee development but differ in scope and experience level.

What are the most commonly searched types of Learning jobs in Illinois? The most popular types of Learning jobs in Illinois are:
What cities in Illinois are hiring for Learning Intern jobs? Cities in Illinois with the most Learning Intern job openings:

Campus AI Research Engineer - Deep Learning (Intern)

Jump Trading

Chicago, IL • On-site

$300K/yr

Other

Re-posted 3 days ago


Job description

Campus Ai Research Engineer - Deep Learning (Intern)

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.