Quantum Algorithms & AI Research Intern

IBM; Chicago, Northern (IL, KY); On-site; USD 74,000 - 136,000; Full time

Job summary

IBM Research is seeking a Quantum Algorithms and Quantum Machine Learning Intern to explore quantum algorithms and AI methods at the intersection of quantum computing and classical learning. The role is based in Chicago and focuses on developing, evaluating, and benchmarking quantum-classical approaches under mentor guidance.

You will work on hybrid models, simulations of physical systems, and theory benchmarking, with opportunities to publish or present results.

Qualifications

• Enrollment in a graduate program in quantum computing, computer science, physics, applied mathematics, statistics, information theory, engineering, or a related field.
• Strong foundation in quantum computing and quantum algorithms, with knowledge of linear algebra, probability, optimization, or numerical methods.
• Research experience in at least one relevant area, such as machine learning, quantum machine learning, quantum simulation, or hybrid quantum-classical methods.
• Experience implementing research code in Python or a comparable scientific programming language.
• Ability to conduct independent research, analyze results critically, and communicate technical findings clearly.

Responsibilities

• Develop quantum and hybrid algorithms for scientifically meaningful learning or simulation tasks.
• Implement research prototypes and benchmark accuracy, resource requirements, and scalability against strong classical methods.
• Apply these methods to problems involving classical or quantum data in physics, chemistry, materials science, or related domains.
• Analyze when quantum resources may offer a meaningful advantage and clearly state the assumptions and costs.
• Present results through technical reports, talks, open-source code, and, where appropriate, a publication or conference submission.

Skills

Quantum computing foundations

Quantum algorithms

Machine learning

Independent research

Python programming

Technical communication

Education

Bachelor's Degree

Master's Degree

Tools

Qiskit

SciPy/NumPy

Git/GitHub

Job description

IBM Research is seeking a Quantum Algorithms and Quantum Machine Learning Intern to explore quantum algorithms and AI methods at the intersection of quantum computing and classical learning. The role is based in Chicago and focuses on developing, evaluating, and benchmarking quantum-classical approaches under mentor guidance.

You will work on hybrid models, simulations of physical systems, and theory benchmarking, with opportunities to publish or present results.