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Machine Learning Research Intern Jobs in Park Ridge, IL

Quantum Machines

Machine Learning Engineer

Chicago, IL · On-site

... R&D, and hardware teams, contributing to internal libraries, customer-facing SDKs, and training materials. Qualifications : Required : • PhD/Master in Machine Learning, Physics, Applied Physics ...

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Acceler8 Talent

Research Engineer

Mundelein, IL

Research Engineer, Foundation Models About the Opportunity We are seeking a Research Engineer to ... Deep understanding of modern machine learning and deep learning techniques * Experience training ...

IMC Inc

Machine Learning Engineer

Chicago, IL

$175K - $250K/yr

Machine Learning Engineer Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia As a ... You'll collaborate with leading researchers, hardware experts, and software engineers to build ...

IMC

Principal Machine Learning Engineer

Chicago, IL · On-site

$200K - $250K/yr

You'll work alongside researchers and technologists to design the systems that power experimentation, training, and deployment of ML models - and help set the direction for how machine learning is ...

IMC Inc

Principal Machine Learning Engineer

Chicago, IL

$200K - $250K/yr

You'll work alongside researchers and technologists to design the systems that power experimentation, training, and deployment of ML models - and help set the direction for how machine learning is ...

IMC

Machine Learning Engineer

Chicago, IL

$175K - $250K/yr

As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the ... You'll collaborate with leading researchers, hardware experts, and software engineers to build ...

IMC

Machine Learning Engineer

Chicago, IL · On-site

$175K - $250K/yr

As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the ... You'll collaborate with leading researchers, hardware experts, and software engineers to build ...

Ontrac Solutions

Machine Learning Engineer

Chicago, IL · On-site

$70 - $90/hr

Ontrac Solutions is seeking Machine Learning Engineers to support an urgent staff augmentation ... research-focused models. About Ontrac Solutions Ontrac Solutions is a strategic consulting and ...

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All JobsMachine Learning Research Intern JobsMachine Learning Research Intern Jobs in Park Ridge, IL

Machine Learning Research Intern information

See Park Ridge, IL salary details

$25.1K

$41.9K

$86.6K

How much do machine learning research intern jobs pay per year?

As of Jun 13, 2026, the average yearly pay for machine learning research intern in Park Ridge, IL is $41,902.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,000.00 and $45,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Research Intern, and why are they important?

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by Machine Learning Research Interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What does a Machine Learning Research Intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.
What job categories do people searching Machine Learning Research Intern jobs in Park Ridge, IL look for? The top searched job categories for Machine Learning Research Intern jobs in Park Ridge, IL are:
What cities near Park Ridge, IL are hiring for Machine Learning Research Intern jobs? Cities near Park Ridge, IL with the most Machine Learning Research Intern job openings:
Machine Learning Research Intern jobs near you

Machine Learning Engineer

Quantum Machines

Chicago, IL • On-site

Full-time

Posted 2 days ago

Job description

Job Summary:
Quantum Machines is a global leader in quantum computing control systems, and they are seeking a Machine Learning Engineer to design, build, and deploy machine learning systems for quantum processors. The role involves developing ML solutions that enhance the calibration, control, and operation of quantum technologies, working at the intersection of machine learning and quantum physics.
Responsibilities:
• Develop reinforcement learning, Bayesian inference, and probabilistic modelling approaches for parameter tuning, drift tracking, and adaptive measurement, to be deployed on real hardware.
• Develop real-time parameter steering for calibration during QEC and between circuits.
• Develop and maintain agentic frameworks for autonomous system control and calibration.
• Develop and maintain Python-based ML services and libraries that integrate with the wider Quantum Machines control stack, including QUA, Qualibrate, and the OPX1000.
• Work directly with customers and partner labs to deploy, validate, and iterate on ML solutions in real experimental environments.
• Collaborate cross-functionally with product, R&D, and hardware teams, contributing to internal libraries, customer-facing SDKs, and training materials.
Qualifications:
Required:
• PhD/Master in Machine Learning, Physics, Applied Physics, Quantum Information Science, or a related field. 4+ years of relevant experience
• Strong background in Machine Learning and Deep Learning, with hands-on experience in at least one of: deep learning, reinforcement learning, agentic AI
• Strong Python proficiency, including scientific or systems-oriented codebases
• Solid software engineering fundamentals (architecture, Git workflows, testing, code review)
• Proven track record of taking ML from prototype to deployment under real-world constraints - non-stationary data, expensive evaluations, or safety-critical action spaces. Robotics, online control, autonomous vehicles, or hardware-in-the-loop ML all transfer well
• Strong problem-solving skills and customer-focused mindset; ability to work independently and in multidisciplinary teams
• Proven software development track record and excellent technical communication skills
Preferred:
• Familiarity with quantum computing concepts - qubit calibration, randomized benchmarking, QEC, optimal control- advantage
• Experience with sim-to-real, multi-objective RL, or meta-learning- advantage
Company:
Quantum Machines is a leading provider of quantum control solutions, powering quantum-classical integration at scale with Hybrid Control. Founded in 2018, the company is headquartered in Claymont, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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