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Deep Learning Intern Jobs in Aurora, IL (NOW HIRING)

CVS Health

Senior Data Scientist - PBM Analytics

Chicago, IL · On-site

$101K - $222K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Mentor peers and lead intern projects. Required Qualifications * 3+ years of hands-on experience in generating business insights, machine learning, and deep learning frameworks * Proficiency in ...

Crowe LLP

Machine Learning Engineer

Oakbrook Terrace, IL

$62K - $100K/yr

Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe ...

New

Crowe LLP

Machine Learning Engineer

Chicago, IL · On-site

$62K - $100K/yr

Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe ...

New

Crowe LLP

Machine Learning Engineer

Chicago, IL · On-site

$62K - $100K/yr

Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe ...

New

Crowe LLP

Machine Learning Engineer

Chicago, IL

$62K - $100K/yr

Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe ...

New

IBM

Consultant Intern - AWS Cloud 2027

Chicago, IL · On-site

$15.50 - $20.50/hr

At IBM, we prioritize continuous learning, skill development, and personal growth within a culture ... With deep expertise in many industries, we offer strategy, experience, technology, and operations ...

New

Winlandfoods

Product Development Intern

Oak Brook, IL · Hybrid

$27.50/hr

Our team has deep technical expertise across a variety of packaging formats.You can expect a ... On-the-job learning alongside experienced professionals * Continuous development opportunities, and ...

Reli Group Inc

Power BI Intern

Joliet, IL · On-site

$15/hr

Our team of over 500 professionals brings deep expertise and a shared commitment to delivering ... The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ...

Reli Group Inc

Power BI Intern

Chicago, IL · On-site

$15/hr

Our team of over 500 professionals brings deep expertise and a shared commitment to delivering ... The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ...

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All JobsDeep Learning Intern JobsDeep Learning Intern Jobs in Aurora, IL

Deep Learning Intern information

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How much do deep learning intern jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for deep learning intern in Aurora, IL is $16.89, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $19.09 per hour, depending on experience, location, and employer.

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 skills and qualifications are needed to thrive as a deep learning intern?

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 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.

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Quantitative Research Intern, PhD (Summer 2027)

Optiver

Chicago, IL • On-site

Other

Re-posted 16 days ago

Job description

As a Quantitative Research Intern, you'll work alongside researchers, engineers, and traders to tackle some of the most challenging quantitative problems in global financial markets. You'll analyze large-scale datasets, develop predictive models and algorithms, and apply statistical and machine learning techniques to uncover patterns in market behavior. AI-driven research at Optiver is where competitive advantage is built, transforming ideas, models, and insights into trading strategies that operate in live markets.
This opportunity is also available in our Austin office.
What You'll Do:
Led by our dedicated Education team, you'll build a strong foundation in market structure and options theory. This internship follows an apprentice-style learning model where you'll work alongside an experienced researcher and contribute to a project that's aligned with current business needs. Throughout the internship, you'll gain exposure to the AI tools and technologies that support research and development across the business, with the opportunity to contribute to several key areas:

  • Develop predictive models and machine learning systems to better understand market behavior and identify trading opportunities
  • Analyze large-scale market and order-flow data to uncover signals, evaluate hypotheses, and improve trading performance
  • Build and test statistical and stochastic models for pricing, forecasting, and risk management
  • Apply modern research techniques, including deep learning and AI-enabled workflows, to accelerate discovery and improve research efficiency
What You'll Get:
You'll join a culture of collaboration, continuous improvement, and excellence, surrounded by curious thinkers and creative problem-solvers. Together, you'll tackle some of the toughest challenges in the financial markets by leveraging cutting-edge machine learning research to develop innovative, real-world solutions.
In addition, you'll receive:
  • The opportunity to work alongside best-in-class professionals from over 40 different countries
  • The opportunity to earn a return internship or full-time offer in Chicago, Austin, or New York City based on performance
  • A highly-competitive internship compensation package
  • Optiver-covered flights, living accommodations, and commuting stipends
  • Extensive office perks, including breakfast, lunch, snacks, regular social events, clubs, sporting leagues, and more
What To Expect:
As part of our assessment process, you may be invited to participate in a multi-day, on-site evaluative program. Through hands-on workshops, technical discussions, and direct exposure to our researchers and traders, you'll gain insight into how research is applied at Optiver and how PhD students transition successfully into industry. Attendance and successful completion of this program may be required to receive an internship offer.
Who You Are:
  • Currently enrolled in a PhD program in Statistics, Computer Science, Machine Learning, Mathematics, or a related STEM field with outstanding academic performance
  • Expected graduation between December 2027 - June 2029 and available to intern during Summer 2027
  • Open to full-time opportunities upon graduation in 2028 or 2029
  • Solid foundation in mathematics, probability, and statistics
  • Excellent research, analytical, and modeling skills
  • Experience applying machine learning methods to real-world research problems, such as time-series analysis, prediction, forecasting, pattern recognition, optimization, or decision-making
  • Proficiency in any programming language
  • Strong interest in working in a fast-paced, collaborative environment
  • Fluent in English with strong written and verbal communication skills

Who We Are:
Optiver is a leading technology- and research-driven trading firm. Our teams of scientists, engineers, mathematicians, and traders work side by side to develop, test, and scale ideas that shape how we understand and trade global markets. Powered by a global platform built for rapid experimentation and iteration, we combine the scientific rigor of a research institution with the pace of a technology company.
Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.
Optiver is supportive of US immigration sponsorship for this role.
*Optiver has a global application re-apply policy for our intern and graduate roles. If you have completed an online assessment or interviewed for a quantitative graduate or internship role at any Optiver location in the past 8 months, please note that you are not yet eligible to reapply. We welcome you to re-apply to after the 8-month cool off period.
Below is the expected compensation for this position. This is a good-faith estimate of the base pay scale and sign-on bonus for this position and offers will ultimately be determined based on experience, education, skill set, and performance in the interview process. This position will also be eligible for the benefits listed above.
Base Salary Range
$80,000-$100,000 USD

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