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Internship Mechanical Engineering Machine Learning Jobs in Elgin, IL

Our machine learning engineering team is responsible for developing infrastructure and tooling to help enable data driven decisions and insights at scale for millions of Paylocity users. As a Machine ...

Machine Learning Engineer

Chicago, IL · On-site

$80 - $120/hr

Required Qualifications Master's Degree in Mathematics, Engineering, Physics or related field ... in Machine Learning; Experience with deep learning frameworks like TensorFlow or PyTorch;

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Our machine learning engineering team is responsible for developing infrastructure and tooling to help enable data driven decisions and insights at a scale for millions of Paylocity users. As a ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Our machine learning engineering team is responsible for developing infrastructure and tooling to help enable data driven decisions and insights at scale for millions of Paylocity users. As a Senior ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... fluid mechanics, heat transfer, machine design, manufacturing processes, and control systems.

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... fluid mechanics, heat transfer, machine design, manufacturing processes, and control systems.

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... fluid mechanics, heat transfer, machine design, manufacturing processes, and control systems.

Understanding of machine learning / signal processing fundamentals * Comfort with linear algebra ... End-of-internship demo day * Paid vacation Compensation The pay range for this position is $35 ...

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Internship Mechanical Engineering Machine Learning information

See Elgin, IL salary details

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How much do internship mechanical engineering machine learning jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for internship mechanical engineering machine learning in Elgin, IL is $21.63, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $23.99 per hour, depending on experience, location, and employer.

What is the difference between Internship Mechanical Engineering Machine Learning vs Mechanical Engineer?

AspectInternship Mechanical Engineering Machine LearningMechanical Engineer
Required CredentialsTypically pursuing or recently completed a degree in Mechanical Engineering or related field; familiarity with machine learning toolsBachelor's degree in Mechanical Engineering; professional licensure often not required for entry-level roles
Work EnvironmentInternship setting, often in research labs or tech companies, focusing on project-based learningDesign, analysis, and manufacturing environments, including offices, factories, and labs
Employer & Industry UsageUsed by tech companies, research institutions, and engineering firms exploring AI applications in mechanical systemsWidely employed across manufacturing, automotive, aerospace, and energy sectors

In summary, an Internship Mechanical Engineering Machine Learning focuses on gaining experience at the intersection of mechanical engineering and machine learning, often in research or tech environments. A Mechanical Engineer typically works on designing and maintaining mechanical systems across various industries, with a broader scope and more established credentials.

What are popular job titles related to Internship Mechanical Engineering Machine Learning jobs in Elgin, IL?

For Internship Mechanical Engineering Machine Learning jobs in Elgin, IL, the most frequently searched job titles are:

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What cities near Elgin, IL are hiring for Internship Mechanical Engineering Machine Learning jobs?

Cities near Elgin, IL with the most Internship Mechanical Engineering Machine Learning job openings:

Machine Learning Research Intern - Summer 2027 - Chicago

IMC

Chicago, IL

$300K/yr

Full-time, Temporary, Internship

PTO

Re-posted 12 days ago


Job description

Our Machine Learning Internship is designed for curious, ambitious researchers who want to apply machine learning to complex, real-world problems. Over 10-12 weeks, you'll work alongside experienced researchers and mentors to develop models, analyze large-scale datasets, and contribute to research that informs IMC's trading strategies across global equities, futures, and options markets. You'll gain hands-on experience designing experiments, evaluating novel approaches, and tackling challenging problems in a collaborative, fast-paced environment where your work can have real-world impact.

Throughout the program, you'll deepen your understanding of quantitative trading through a combination of classroom and on desk training, while benefiting from professional development and networking opportunities. We offer a highly competitive compensation package, including travel and accommodation. High-performing interns may be considered for a full-time Graduate Researcher position upon graduation.

YOUR CORE RESPONSIBILITIES:

  • Conduct hands-on research to design, develop, and apply original machine learning algorithms, with the support to explore and innovate.
  • Analyze large-scale datasets, develop predictive models, and evaluate novel approaches to complex market problems
  • Develop your research skills through hands-on project work, mentorship, and regular feedback from experienced researchers
  • Enhance your understanding of quantitative trading through classroom-based instruction in options theory, market making, and related topics

YOUR SKILLS AND EXPERIENCE:

  • Pursuing a PhD in Machine Learning, Computer Science, Electrical Engineering, Mathematics, Statistics, Physics, or a related quantitative field and graduating between September 2027 - July 2028
  • Strong foundations in machine learning, probability, and statistics, with experience applying advanced ML techniques to solve challenging research or real-world problems
  • Demonstrated hands-on research experience in deep learning fundamentals such as neural network architectures, sequence modeling, training dynamics, or optimization
  • Proficiency in Python and modern machine learning frameworks such as PyTorch, Tensorflow, and/or JAX
  • Demonstrated research excellence through publications, preprints, research internships, or significant research projects; publications at venues such as NeurIPS, ICML, ICLR, or equivalent conferences are highly preferred
  • Must be able to start internship in-person on June 7, 2027

You may submit one application per role each year.  We strongly encourage you to focus on applying to a single role that best matches your skills and interests.  Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027.

The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.

Base Salary: $300,000