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Deep Learning Intern Jobs in Illinois (NOW HIRING)

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Train on a dedicated high-performance compute cluster specialized for deep learning research * Work ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Train on a dedicated high-performance compute cluster specialized for deep learning research * Work ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Train on a dedicated high-performance compute cluster specialized for deep learning research * Work ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Train on a dedicated high-performance compute cluster specialized for deep learning research * Work ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Train on a dedicated high-performance compute cluster specialized for deep learning research * Work ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Train on a dedicated high-performance compute cluster specialized for deep learning research * Work ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Train on a dedicated high-performance compute cluster specialized for deep learning research * Work ...

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Deep Learning Intern information

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How much do deep learning intern jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for deep learning intern in Illinois is $16.51, according to ZipRecruiter salary data. Most workers in this role earn between $13.99 and $18.65 per hour, depending on experience, location, and employer.

What types of projects can a Deep Learning Intern expect to work on, and how is mentorship typically structured?

As a Deep Learning Intern, you can expect to work on projects such as developing and training neural network models, data preprocessing, and conducting experiments to improve model accuracy. Interns are often integrated into small teams where they collaborate closely with experienced machine learning engineers and researchers. Mentorship is usually structured through regular check-ins, code reviews, and collaborative problem-solving sessions, giving interns the opportunity to learn industry best practices and receive feedback on their work. This setup provides a supportive environment for skill development and hands-on experience with real-world deep learning challenges.

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

To thrive as a Deep Learning Intern, you need a solid background in mathematics, programming (especially Python), and foundational knowledge of machine learning concepts, often backed by coursework or relevant projects. Familiarity with frameworks like TensorFlow or PyTorch, as well as experience using version control systems like Git, are typically required. Strong problem-solving abilities, curiosity, and effective communication skills help interns collaborate and learn quickly in a dynamic research environment. These skills and qualities are essential for contributing meaningfully to cutting-edge AI projects and rapidly adapting to evolving technologies.

What does a Deep Learning Intern do?

A Deep Learning Intern typically assists with designing, developing, and testing deep learning models under the supervision of experienced machine learning engineers or researchers. Their tasks may involve data preprocessing, model training, evaluation, and implementing neural network architectures for tasks like image recognition, natural language processing, or other AI applications. Interns often help with literature reviews, experiment tracking, and preparing reports or presentations of their findings. This role provides hands-on experience in working with state-of-the-art machine learning frameworks such as TensorFlow or PyTorch.
What are the most commonly searched types of Deep Learning jobs in Illinois? The most popular types of Deep Learning jobs in Illinois are:
What are popular job titles related to Deep Learning Intern jobs in Illinois? For Deep Learning Intern jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Deep Learning Intern jobs in Illinois look for? The top searched job categories for Deep Learning Intern jobs in Illinois are:
What cities in Illinois are hiring for Deep Learning Intern jobs? Cities in Illinois with the most Deep Learning Intern job openings:
Deep Learning Intern jobs near you
Infographic showing various Deep Learning Intern job openings in Illinois as of July 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $34,338 per year, or $16.5 per hour.
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 17 days ago

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.

Apply