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

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 ...

Syntiant

Product Compliance Intern

Itasca, IL · On-site

$38K - $47K/yr

Research and interpret international regulations affecting semiconductor and electronic products ... Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra ...

Syntiant

Product Compliance Intern

Itasca, IL · On-site

$38K - $47K/yr

Research and interpret international regulations affecting semiconductor and electronic products ... Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra ...

Syntiant

Product Compliance Intern

Itasca, IL · On-site

$38K - $47K/yr

Research and interpret international regulations affecting semiconductor and electronic products ... Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra ...

Qfanalytics

Machine Learning Engineer

Chicago, IL · On-site

$80 - $120/hr

The Machine Learning Researcher should be interested in Financial Markets, and will be directly ... Utilize knowledge of classical machine learning and deep learning algorithms to address specific ...

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

... deep learning algorithms for virtual staining and digital pathology applications Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative ...

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

As of Aug 10, 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 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 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 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

Machine Learning Researcher

IMC

Chicago, IL • On-site

Full-time

Re-posted 12 days ago

Job description

IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems. This role is part of a central ML research team that collaborates across trading teams at IMC.  The ideal candidate will have experience working with other researchers and engineers to build and continuously improve models, systems, and research tooling. We firmly believe that success for research-driven efforts lies in bringing together skills in ML, statistics, and trading intuition as well as a problem-solving mindset and pragmatism.  This is an opportunity to dive deep into feature engineering and alpha research, and focus on applying a wide range of ML models as well as to perform research on building custom models.

Your Core Responsibilities:

  • Design and deploy machine learning models to enhance trading performance across various asset classes
  • Research, test and prototype new algorithmic ideas; deploy advanced ML techniques applicable to market prediction, signal generation, and portfolio optimization
  • Collaborate with quantitative traders, researchers, and developers to translate market insights into data-driven features and models
  • Manage data acquisition, preprocessing, and feature engineering for structured and unstructured data sources

Your Skills and Experience:

  • PhD or Master's in Engineering, Math, Statistics, Computer Science, or related quantitative field
  • 2+ years of experience building applied ML models; previous experience in trading environment preferred
  • Proven expertise in developing and deploying predictive models
  • Strong programming skills in Python; proficiency in ML libraries such as PyTorch, TensorFlow, and/or high-performance libraries like Jax
  • Strong understanding of theoretical foundations of state-of-the-art ML models
  • Strong publication track record at ICML, ICLR, NeurIPS, or equivalent
  • Ability and desire to work in a collaborative team environment
  • Excellent written and verbal communication skills

Apply