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Machine Learning Intern Jobs in Hoffman Estates, IL

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 ...

Optiver

Quantitative Research Intern PhD

Chicago, IL · On-site

$80K - $90K/yr

Using statistical models and machine learning to develop trading algorithms. * Leveraging big data ... Available to intern during Summer 2026 * Open to full-time opportunities upon graduation in 2027 or ...

SAP

SAP iXp Intern - AI Engineer

Naperville, IL · On-site

$16.75 - $21.75/hr

Three reasons to intern at SAP * Culture of collaboration: meet with mentors, make new friends ... AI & Machine Learning: Coursework or practical experience with open-source ML/LLM frameworks (e.g ...

TransMarket Group

Algorithmic Trader Intern

Chicago, IL · On-site

$15.50 - $20.50/hr

Description As an Algorithmic Trader Intern, you will have the opportunity to learn and experience ... Project or internship experience in data analysis, quantitative modeling and/or machine learning

SAP

SAP iXp Intern - AI Engineer

Naperville, IL · On-site

Three reasons to intern at SAP * Culture of collaboration: meet with mentors, make new friends ... AI & Machine Learning: Coursework or practical experience with open-source ML/LLM frameworks (e.g ...

SAP

SAP iXp Intern - AI Engineer

Naperville, IL

Three reasons to intern at SAP * Culture of collaboration: meet with mentors, make new friends ... AI & Machine Learning: Coursework or practical experience with open-source ML/LLM frameworks (e.g ...

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Showing results 21-40

All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Hoffman Estates, IL

Machine Learning Intern information

See Hoffman Estates, IL salary details

$25K

$41.8K

$86.4K

How much do machine learning intern jobs pay per year?

As of Aug 14, 2026, the average yearly pay for machine learning intern in Hoffman Estates, IL is $41,816.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,900.00 and $45,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a machine learning intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

More about Machine Learning Intern jobs

What are the most commonly searched types of Machine Learning jobs in Hoffman Estates, IL?

The most popular types of Machine Learning jobs in Hoffman Estates, IL are:

What job categories do people searching Machine Learning Intern jobs in Hoffman Estates, IL look for?

The top searched job categories for Machine Learning Intern jobs in Hoffman Estates, IL are:

What cities near Hoffman Estates, IL are hiring for Machine Learning Intern jobs?

Cities near Hoffman Estates, IL with the most Machine Learning Intern job openings:

Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Hoffman Estates, IL as of June 2026, with employment types broken down into 2% As Needed, 52% Full Time, 44% Part Time, and 2% Nights. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $41,816 per year, or $20.1 per hour.

Hardware Machine Learning PhD Research Internship

IMC

Chicago, IL

$225K/yr

Full-time, Internship

PTO

Re-posted 29 days ago

Job description

We are deploying machine learning directly onto custom hardware - and we want you to help drive it forward. This PhD internship is an opportunity to work on research that has direct impact on IMC's work tackling open problems at the frontier of low-latency ML inference and hardware acceleration.

You'll work alongside IMC engineers in one of the most demanding low-latency computing environments in the world. You'll own a focused research project from start to finish, present your findings to the team, and leave behind a prototype or benchmark that we can build on.

Your Core Responsibilities

  • Architect and develop an ML focused research project based on real-world use cases
  • Work hands-on with hardware engineers to implement, verify, and deploy ML inference solutions
  • Track and evaluate emerging research in neural architecture search, machine learning systems and quantization methods, and determine what translates to measurable improvements in our systems
  • Present your project to the team, deepening our collective understanding of an area of ML acceleration
  • Gain hardware design fundamentals from skilled RTL developers and learn how they apply to our industry
  • Build skills to evaluate research not only from an academic perspective, but through real-world performance constraints, engineering costs, and industry impact

Your Skills and Experience

  • Currently enrolled in a PhD program in Electrical Engineering, Computer Science, Physics, or a related field
  • Solid understanding of hardware constraints and design trade-offs (e.g., pipelining, resource utilization, fixed-point arithmetic) that shape how ML models can be efficiently mapped onto FPGAs or custom ASICs
  • Experience with hardware fundamentals, whether through VHDL/SystemVerilog development, HLS tools, or ML-to-hardware frameworks like hls4ml, FINN, or Vitis AI
  • Understanding of machine learning fundamentals - neural network architectures, inference optimization, quantization techniques, ML frameworks such as PyTorch/TensorFlow
  • Proficiency in Python or similar languages for tooling, testing, and simulation
  • Strong communication skills and ability to work collaboratively across disciplines with both technical and non-technical teams

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: $225,000

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