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Machine Learning Research Intern Jobs in Park Ridge, IL

IMC Inc

Hardware Machine Learning Engineer

Chicago, IL

$200K - $225K/yr

Hardware Machine Learning Engineer Chicago, United States; New York, United States We are deploying ... We're looking for researchers and experienced engineers from any background. Trading experience is ...

IMC

Hardware Machine Learning Engineer

Chicago, IL

$127K - $167K/yr

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... We're looking for researchers and experienced engineers from any background. Trading experience is ...

IMC

Hardware Machine Learning Engineer

Chicago, IL

$200K - $225K/yr

We're looking for researchers and experienced engineers from any background. Trading experience is ... Understanding of machine learning fundamentals - neural network architectures, inference ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

We're looking for researchers and experienced engineers from any background. Trading experience is ... Understanding of machine learning fundamentals - neural network architectures, inference ...

Allied

Senior Machine Learning Engineer

Chicago, IL · On-site +1

$150K - $185K/yr

The emphasis is on operational excellence, scalability, and long-term maintainability rather than research and experimentation. ESSENTIAL FUNCTIONS * Design and implement end to end machine learning ...

kadence

Research Scientist

Mundelein, IL

$225K - $400K/yr

As a Founding Machine Learning Researcher, you'll focus on advancing model capabilities for human-like voice agents operating in complex, real-world environments. You'll explore new approaches across ...

Akuna Capital

Quantitative Researcher

Chicago, IL · On-site

$145K/yr

... and feature research * Design and optimize machine learning workflows to support scalable ... If you are a current student or recent graduate, please take a look at our Entry Level and Intern ...

Akuna Capital

Quantitative Researcher

Chicago, IL · On-site

$145K/yr

... and feature research * Design and optimize machine learning workflows to support scalable ... If you are a current student or recent graduate, please take a look at our Entry Level and Intern ...

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

This innovation supports the critical evolution from research applications to clinical deployment ... The ideal candidate will have deep expertise in Machine Learning and building generalizable ...

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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

Quantum Software Engineer - Machine Learning

Infleqtion

Chicago, IL • On-site

$100/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

We are seeking a Quantum Software Engineer with expertise in quantum-inspired classical machine learning and quantum machine learning (QML). This role will focus on developing advanced ML models and algorithms that leverage tensor networks and related structured representations, supporting applications across quantum computing and quantum sensing platforms.
As a member of the Quantum Software division, you will work closely with teams spanning quantum computing and sensing hardware and algorithms to design scalable learning architectures that operate in hybrid classical-quantum workflows. The ideal candidate brings strong foundations in machine learning and mathematical physics, along with hands-on experience developing novel model architectures for structured, high-dimensional data.
This position offers the opportunity to contribute to next-generation ML techniques that bridge classical and quantum paradigms for real-world deployment.
Job Responsibilities
The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned:
  • Develop and implement quantum-inspired machine learning models, including tensor network-based architectures (e.g., MPS/TTN/PEPS-inspired models) for structured data analysis
  • Design and evaluate quantum machine learning algorithms suitable for near-term and fault-tolerant quantum computers
  • Build hybrid classical-quantum workflows integrating classical ML pipelines with quantum processors and/or quantum sensors
  • Develop ML models for signal processing, state estimation, calibration, and noise mitigation in quantum sensing systems
  • Collaborate with hardware and experimental teams to translate physical system characteristics into learning-based models
  • Optimize models for performance, scalability, and deployment in HPC and low-SWaP environments
  • Stay current with emerging research in tensor networks, quantum information science, and advanced ML architectures
  • Contribute to research publications, technical reports, and conference presentations
  • Provide technical mentorship and contribute to a collaborative, interdisciplinary research environment

Requirements
Required Qualifications
  • BS or MS in Computer Science, Physics, Applied Mathematics, Electrical Engineering, or a closely related field
  • Strong experience developing, training, and optimizing machine learning models
  • Demonstrated experience with tensor networks, structured linear algebra, or physics-informed ML architectures
  • Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX, TensorFlow)
  • Experience working in scientific computing and HPC environments leveraging GPU acceleration
  • Strong mathematical foundation in linear algebra, probability, and optimization
  • Ability to communicate complex theoretical and experimental concepts clearly across teams and to external customers
  • Demonstrated ability to work effectively in a collaborative, cross-functional, and fast-paced R&D environment
  • Resourceful problem-solver with a track record of delivering research ideas into prototype or production systems
  • Willingness to travel domestically and potentially internationally up to 10%

Preferred Qualifications
  • Ph.D. in Computer Science, Physics, Applied Mathematics, or a related field
  • Research experience in quantum machine learning and/or quantum information science
  • Experience implementing variational quantum algorithms, parameterized quantum circuits, or quantum kernel methods
  • Experience developing tensor network algorithms for large-scale modeling or simulation
  • Familiarity with quantum SDKs (e.g., Qiskit, Cirq, Braket, PennyLane)
  • Strong publication record in machine learning, quantum computing, or computational physics
  • Experience working with quantum sensor data or quantum hardware calibration workflows

Benefits
  • Salary range: $135,000 to $160,000
  • 100% company-paid medical, dental, vision, short/long-term disability
  • Employer-funded Health Savings Account
  • Unlimited PTO
  • 401(k) match
  • Company-paid Life and AD&D Insurance
  • Flexible Savings Account
  • Paid FMLA, Maternity/Paternity Leave
  • Employee Assistance Program
  • Student Loan Repayment
  • Equity Program

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