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Deep Learning Research Intern Jobs in Chicago, IL

Akuna Capital

Quantitative Research Intern

Chicago, IL · On-site

$130K/yr

What you'll do as a Quantitative Research Intern at Akuna: Akuna's Quant team is looking to add ... Develop trading strategies using statistical and machine learning algorithms. * Design and ...

Akuna Capital

Quantitative Research Intern

Chicago, IL · On-site

$130K/yr

What you'll do as a Quantitative Research Intern at Akuna: Akuna's Quant team is looking to add ... Develop trading strategies using statistical and machine learning algorithms. * Design and ...

Optiver

Quantitative Research Intern (PhD)

Chicago, IL · On-site

$80K - $90K/yr

As a Quantitative Research Intern, you will work side-by-side with our Research Team of ... Using statistical models and machine learning to develop trading algorithms. * Leveraging big data ...

Optiver

Quantitative Research Intern PhD

Chicago, IL · On-site

$80K - $90K/yr

As a Quantitative Research Intern, you will work side-by-side with our Research Team of ... Using statistical models and machine learning to develop trading algorithms. * Leveraging big data ...

Optiver

Quantitative Research Intern (PhD)

Chicago, IL · On-site

$80K - $90K/yr

As a Quantitative Research Intern, you will work side-by-side with our Research Team of ... Using statistical models and machine learning to develop trading algorithms. * Leveraging big data ...

DRW

Quantitative Research Intern

Chicago, IL · On-site

$250K - $300K/yr

As a Quantitative Research Intern you will have an opportunity to solve challenging problems ... Formulate and apply mathematical modeling, quantitative methods and machine learning techniques to ...

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Deep Learning Research Intern information

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How much do deep learning research intern jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for deep learning research 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 does a deep learning research intern do?

A Deep Learning Research Intern assists in the development and experimentation of machine learning models, particularly neural networks, to solve complex problems in fields like computer vision, natural language processing, or robotics. They typically work under the guidance of experienced researchers, contributing to tasks such as data preprocessing, model training, and result analysis. Interns may also help implement and optimize algorithms, read and summarize research papers, and prepare reports or presentations on their findings. This role provides hands-on experience with state-of-the-art AI technologies and research methodologies.

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

To thrive as a Deep Learning Research Intern, you need a strong grasp of machine learning fundamentals, programming skills (especially in Python), and a background in mathematics or computer science, often supported by relevant coursework or research experience. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and proficiency in using data processing and visualization tools are typically expected. Creativity, problem-solving abilities, and effective communication help interns contribute novel ideas and collaborate within research teams. These skills are vital for developing, testing, and presenting cutting-edge AI models and solutions in a fast-evolving field.

What are some common challenges faced by deep learning research interns, and how can they overcome them?

Deep Learning Research Interns often encounter challenges such as managing complex datasets, tuning neural network architectures, and keeping up with the latest research developments. It's common to spend significant time troubleshooting code or optimizing models for better performance. Collaborating closely with mentors and team members, actively participating in research discussions, and consistently reading recent papers can help interns overcome these hurdles. Utilizing open-source tools and frameworks, along with clear documentation practices, also streamlines the research process.

What are the most commonly searched types of Deep Learning Research jobs in Chicago, IL?

The most popular types of Deep Learning Research jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Deep Learning Research Intern jobs?

Cities near Chicago, IL with the most Deep Learning Research Intern job openings:

Deep Learning Research Intern jobs near you

Research Scientist/Research Engineer, Reinforcement Learning

Socket.dev

Chicago, IL • On-site

$250/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Key responsibilities

  • Design and evaluate reinforcement learning policy architectures, reward formulations, and objective horizons with rigorous out-of-sample benchmarking.

  • Partner with trading and research teams to source, integrate, and validate alpha signals within the reinforcement learning framework.

  • Build and maintain systems for storing, processing, and analyzing large volumes of market and signal data.

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 incentivizing 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 team is a group of quantitative researchers, engineers, and ML experts leading reinforcement learning research and trading at Jump. Our mission is to combine emerging techniques and original research to learn optimal decision-making policies from financial market data and monetize them globally. We are building the future of ML-powered trading through breakthrough reinforcement learning, and we're looking for an exceptional Research Scientist/Research Engineer to join our team.

What You’ll Do

As a Research Scientist/Research Engineer working on RL, you'll be at the forefront of applying reinforcement learning to markets. You'll conduct original research and own the systems that turn it into production trading: designing and evaluating policy architectures, reward formulations, and objective horizons with rigorous out-of-sample benchmarking; partnering with trading and research teams to source, integrate, and validate their alpha signals within the RL framework; ensuring simulation fidelity against live trading by modeling market microstructure, fill dynamics, liquidity, and latency; building efficient tooling to store, process, and analyze very large volumes of market and signal data; and communicating findings to technical and trading audiences. This isn't incremental optimization; we're pushing the boundaries of what reinforcement learning can do at scale, where your improvements directly impact live trading.

Other duties as assigned or needed.

Skills You’ll Need
  • 5+ years of experience developing reinforcement learning and/or deep learning systems with measurable impact in industry and/or academia
  • Depth in reinforcement learning, including experience designing reward formulations, policy architectures, and evaluation, and taking RL methods from research into production
  • Proficiency in Python and/or C++
  • Familiarity with ML libraries/frameworks such as PyTorch (preferred), TensorFlow, and/or JAX
  • Strong foundation in mathematics and statistics
  • PhD or Master's degree in Computer Science, Machine Learning, Robotics (or a related subject)
  • Strong publication record at ICML, ICLR, AAAI, NeurIPS, CVPR, or equivalent
  • Ability to thrive in a collaborative, team-oriented environment
  • Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
  • Reliable and predictable availability
  • Excellent written and verbal communication skills in English
Benefits
  • Discretionary bonus eligibility
  • Medical, dental, and vision insurance
  • HSA, FSA, and Dependent Care options
  • Employer Paid Group Term Life and AD&D Insurance
  • Voluntary Life & AD&D insurance
  • Paid vacation plus paid holidays
  • Retirement plan with employer match
  • Paid parental leave
  • Wellness Programs

Annual Base Salary Range $200,000 — $350,000 USD

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