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Internship Machine Learning Chemistry Jobs in Chicago, IL

Our internship program will introduce you to the world of consumer-packaged goods with the goal of ... During your time with us, you'll have access to learning and development live sessions, as well as ...

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Our internship program will introduce you to the world of consumer-packaged goods with the goal of ... During your time with us, you'll have access to learning and development live sessions, as well as ...

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Internship Machine Learning Chemistry information

See Chicago, IL salary details

$26.3K

$43.9K

$90.7K

How much do internship machine learning chemistry jobs pay per year?

As of Aug 23, 2026, the average yearly pay for internship machine learning chemistry in Chicago, IL is $43,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $47,400.00 per year, depending on experience, location, and employer.

What is an internship in machine learning chemistry?

An Internship in Machine Learning Chemistry is a temporary, often academic or industry-based position where students or early-career professionals gain hands-on experience applying machine learning techniques to solve problems in chemistry. Interns may work on projects involving data analysis, molecular modeling, drug discovery, or material design using algorithms and computational tools. The internship provides practical exposure to interdisciplinary research, allowing interns to collaborate with chemists, data scientists, and engineers. It is an excellent opportunity to develop both technical and professional skills in a rapidly growing field.

What are the key skills and qualifications needed to thrive as an internship in machine learning chemistry?

To thrive as an intern in Machine Learning Chemistry, you need a solid understanding of chemistry fundamentals and proficiency in programming languages such as Python, often supported by ongoing or completed coursework in chemistry, computer science, or related fields. Familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow), cheminformatics tools (e.g., RDKit), and data analysis platforms is highly valued. Strong analytical thinking, problem-solving skills, and teamwork set standout candidates apart in collaborative research environments. These skills are important to effectively develop, implement, and interpret machine learning models that address complex chemical problems.

What are some common challenges faced during a machine learning chemistry internship, and how can interns overcome them?

Interns in Machine Learning Chemistry often encounter challenges such as bridging the gap between computational methods and chemical domain knowledge, working with complex and sometimes limited datasets, and adapting to rapidly evolving technologies. To overcome these hurdles, it's helpful to proactively seek mentorship from both data scientists and chemists within the team, dedicate time to learning domain-specific concepts, and regularly participate in team discussions to clarify project goals. Embracing a collaborative mindset and staying curious will also help interns effectively contribute and grow in this interdisciplinary environment.

What is the difference between Internship Machine Learning Chemistry vs Chemistry Research Intern?

AspectInternship Machine Learning ChemistryChemistry Research Intern
Required CredentialsBasic programming, chemistry knowledge, courseworkChemistry coursework, lab skills, basic research experience
Work EnvironmentData analysis, coding, computational toolsLaboratory experiments, chemical analysis
Industry UsageTech companies, research labs integrating ML and chemistryAcademic, industrial chemistry labs
Search & Comparison IntentUnderstanding roles combining ML and chemistry internshipsTraditional chemistry research internship details

Internship Machine Learning Chemistry focuses on applying machine learning techniques to chemistry problems, often involving coding and data analysis. In contrast, Chemistry Research Internships emphasize hands-on laboratory research in chemistry. Both roles require chemistry knowledge, but the former integrates computational skills, making it ideal for those interested in data-driven chemistry careers.

What are the most commonly searched types of Machine Learning Chemistry jobs in Chicago, IL?

The most popular types of Machine Learning Chemistry jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Internship Machine Learning Chemistry jobs?

Cities near Chicago, IL with the most Internship Machine Learning Chemistry job openings:

Quantum Computing Lab Intern

Quantum Machines

Chicago, IL โ€ข On-site

Other

Posted 24 days ago


Job description

Description
Join the Team Building Chicago's Next-Generation Quantum Testbed
The IQCC is a world-class quantum facility, providing state-of-the-art infrastructure to support quantum computing research and development for both academia and industry. The IQCC is managed and operated by Quantum Machines (QM), the global leader in quantum computing control systems, providing the hardware and software infrastructure powering many of the world's most advanced quantum computing programs.
We are looking for a highly motivated intern who is excited to gain hands-on experience with cutting-edge quantum hardware, advanced cryogenic systems, and one of the fastest-growing quantum ecosystems in the world. This is a unique opportunity to work alongside experienced physicists and engineers while contributing to the operation and development of advanced quantum computing infrastructure.
The successful candidate will join the team operating our new laboratory in Chicago, which includes multiple dilution refrigerators, advanced measurement systems, and a wide range of quantum and classical devices. The facility is being established by Quantum Machines as part of the Illinois Quantum & Microelectronics Park (IQMP).
Responsibilities:
  • Assist with the operation and maintenance of dilution refrigerators and supporting laboratory infrastructure.
  • Support calibration and characterization activities for quantum devices using Quantum Machines' control systems.
  • Participate in the assembly, testing, and optimization of experimental quantum computing platforms.
  • Work closely with physicists, engineers, and the lab management team to solve technical and operational challenges.
  • Contribute to delivering a world-class research environment for academic and industry customers.
Internship Details:
  • Location: Chicago, Illinois (On-site).
  • Time Commitment: 20-25 hours per week (2-3 days per week).
  • Start Date: Immediate.
  • Duration: Ongoing, with the possibility of conversion to a full-time position.
Requirements
  • Master's degree or PhD in Experimental Physics, Electrical Engineering, Applied Physics, Quantum Engineering, or a related field.-Must
  • Strong experimental laboratory skills and attention to detail.-Must
  • Excellent communication, organizational, and problem-solving abilities.
  • Ability to work on-site in Chicago.-Must
  • Current enrolment in a Master's or PhD program is not required
Preferred
  • Experience working with quantum computing hardware.
  • Experience operating cryogenic systems or dilution refrigerators.
  • Familiarity with microwave measurements and laboratory instrumentation.
  • Python programming experience.
  • Experience with Quantum Machines control systems.
What We Offer
  • A paid internship with hands-on exposure to state-of-the-art quantum technologies.
  • The opportunity to work alongside leading experts in quantum computing and experimental physics.
  • Direct involvement in a rapidly growing ecosystem that includes universities, startups, national laboratories, and technology companies.
  • A unique learning experience with the potential to transition into a full-time role.