ZipRecruiter

Log In

1

Deep Learning Research Intern Jobs in Elgin, IL (NOW HIRING)

ZipRecruiter

Staff Machine Learning Engineer

Chicago, IL · Remote

$205K - $265K/yr

... machine learning research into high-throughput, low-latency production systems. This is a high ... Deep domain expertise in Recommendation Systems, Personalization, Ranking & Retrieval, or ...

ZipRecruiter

Staff Machine Learning Engineer

Chicago, IL · Remote

$205K - $265K/yr

... machine learning research into high-throughput, low-latency production systems. This is a high ... Deep domain expertise in Recommendation Systems, Personalization, Ranking & Retrieval, or ...

ZipRecruiter

Staff Machine Learning Engineer

Chicago, IL · Remote

$205K - $265K/yr

... machine learning research into high-throughput, low-latency production systems. This is a high ... Deep domain expertise in Recommendation Systems, Personalization, Ranking & Retrieval, or ...

IMC

Machine Learning Researcher

Chicago, IL · On-site

... learning to solve challenging trading problems. This role is part of a central ML research team ... This is an opportunity to dive deep into feature engineering and alpha research, and focus on ...

IMC

Machine Learning Researcher

Chicago, IL · On-site

$250K - $300K/yr

... learning to solve challenging trading problems. This role is part of a central ML research team ... This is an opportunity to dive deep into feature engineering and alpha research, and focus on ...

previous page

Showing results 41-60

All JobsDeep Learning Research Intern JobsDeep Learning Research Intern Jobs in Elgin, IL

Deep Learning Research Intern information

See Elgin, IL salary details

$8

$16

$23

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 Elgin, IL is $16.84, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $18.99 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 cities near Elgin, IL are hiring for Deep Learning Research Intern jobs?

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

Deep Learning Research Intern jobs near you

Quantitative Research Intern, Summer 2027

Akuna Capital

Chicago, IL

$145K/yr

Full-time, Temporary, Internship

Re-posted 25 days ago

Job description

About Akuna:

Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge technology, data driven solutions, and automation. We specialize in providing liquidity as an options market-maker - meaning we are committed to providing competitive quotes that we are willing to both buy and sell. To do this successfully, we design and implement our own low latency technologies, trading strategies and mathematical models. 

Our Founding Partners first conceptualized Akuna in their hometown of Sydney. They opened the firm's first office in 2011 in the heart of the derivatives industry and the options capital of the world - Chicago. Today, Akuna is proud to operate from additional offices in Sydney, Shanghai, London, and Singapore. 

What you'll do as a Quantitative Research Intern at Akuna:

Akuna's Quant team is looking to add Quant Research Interns to a team of mathematicians, statisticians and technologists for our 10-week Akunacademy internship program in our Chicago office. This team creates trading strategies scientifically by combining its quantitative expertise with sophisticated understanding of derivatives and financial markets.

We are looking for talented researchers who can apply and develop machine learning algorithms to contribute to Akuna's strategy portfolio. In this role you will:

  • Develop trading strategies using statistical and machine learning algorithms.
  • Design and implement optimization algorithms for portfolio construction.
  • Develop quantitative models describing market behavior.
  • Advance existing initiatives and explore opportunities for new research topics.

Qualities that make great candidates:

  • Pursuing a bachelor's, masters or PhD in Statistics, Computer Science, Engineering, Mathematics (or a related subject)
  • Expertise in statistics and machine learning
  • Experience building mathematical models for complex real-world problems
  • Intermediate programming skills in Python 
  • The ability to react quickly and accurately to rapidly changing market conditions, including the ability to quickly and accurately respond and/or solve math and coding problems are essential functions of the role
  • Financial experience is not a requirement
  • Must graduate by August 2028
  • GPA of 3.5 or above
  • Legal authorization to work in the U.S. is required on the first day of employment including F-1 students using CPT, OPT or STEM

**Resumes must be submitted in PDF format. 

In addition to technical skillsets, Akuna values the unique perspectives people can bring to the table to collaboratively solve complex problems and drive Akuna forward. We want everyone to feel empowered to apply. We welcome your application and encourage you to take the first steps toward your future with us!

Please note: By submitting an application for this role, you are indicating this is your top preference and acknowledge you will not be considered for other Quant and/or Tech roles at Akuna this recruiting season. This acknowledgement does not limit applications to Trading roles - in addition to this role, you may apply to any Trader roles of interest. 

In accordance with Illinois Equal Pay Act, the minimum annualized base salary starts at $145,000. Exact compensation offered may vary based on many factors including, but not limited to, the candidate's experience, qualifications, and skill set. The minimum base salary herein was determined in good faith by Akuna Capital LLC.

Apply