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Internship Ibm Quantum Machine Learning Jobs (NOW HIRING)

INCA Engineering

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Quantum SME

Springfield, VA · On-site

$86K - $114K/yr

Provide technical knowledge and analysis of quantum computing technologies such as quantum machine learning, quantum architectures, and quantum simulation. * Provide functional analysis, design ...

INCA Engineering

Quantum SME

Alexandria, VA

Provide technical knowledge and analysis of quantum computing technologies such as quantum machine learning, quantum architectures, and quantum simulation. * Provide functional analysis, design ...

INCA Engineering

Quantum SME

Washington, DC

Provide technical knowledge and analysis of quantum computing technologies such as quantum machine learning, quantum architectures, and quantum simulation. * Provide functional analysis, design ...

Core4ce

Quantum Engineer SME

Springfield, VA · On-site

$86K - $114K/yr

Provides technical knowledge and analysis of quantum computing technologies such as quantum machine learning, quantum architectures, and quantum simulation. * Provides functional analysis, design ...

INCA Engineering

Quantum SME

Springfield, VA

Provide technical knowledge and analysis of quantum computing technologies such as quantum machine learning, quantum architectures, and quantum simulation. * Provide functional analysis, design ...

Core4ce

Quantum Engineer SME

Springfield, VA

$86K - $114K/yr

Provides technical knowledge and analysis of quantum computing technologies such as quantum machine learning, quantum architectures, and quantum simulation. * Provides functional analysis, design ...

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Internship Ibm Quantum Machine Learning information

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$25.5K

$42.6K

$88K

How much do internship ibm quantum machine learning jobs pay per year?

As of Jun 23, 2026, the average yearly pay for internship ibm quantum machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is an IBM Quantum Machine Learning Internship?

An IBM Quantum Machine Learning Internship is a temporary position for students or recent graduates to work alongside IBM researchers and engineers on projects at the intersection of quantum computing and machine learning. Interns typically contribute to developing algorithms, running experiments on real quantum hardware, and advancing the understanding of how quantum computers can enhance machine learning tasks. The internship provides hands-on experience with IBM's quantum technologies, including Qiskit, and offers opportunities to collaborate with leading experts in the field. Applicants generally need a background in computer science, physics, mathematics, or related fields, and some familiarity with quantum computing concepts.

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

AspectInternship Ibm Quantum Machine LearningData Science Intern
Required CredentialsBasic knowledge of quantum computing, programming, and machine learningBackground in statistics, programming, and data analysis
Work EnvironmentResearch-focused, technology-driven, often in labs or R&D teamsBusiness or research settings, analyzing large datasets
Industry UsageEmerging field within tech and research sectorsWidely used across industries like finance, healthcare, and tech
Search & Comparison IntentUnderstanding quantum ML internship opportunitiesExploring data science internship roles

Internship Ibm Quantum Machine Learning focuses on applying quantum computing techniques to machine learning problems, often requiring knowledge of quantum algorithms and programming. In contrast, Data Science Internships involve analyzing data, building models, and deriving insights using traditional data analysis tools. Both roles are research-oriented but differ in technical focus and industry application.

What kinds of projects or tasks can interns expect to work on during an IBM Quantum Machine Learning internship?

During an IBM Quantum Machine Learning internship, interns often collaborate with research scientists and engineers on projects that explore the intersection of quantum computing and machine learning. Typical responsibilities include implementing quantum algorithms, analyzing experimental data, developing proof-of-concept applications, and contributing to open-source software or research publications. Interns may also participate in team meetings, technical discussions, and code reviews, gaining exposure to cutting-edge quantum technologies and professional research environments. This hands-on experience provides valuable insight into both academic and industry applications of quantum machine learning.

What are the key skills and qualifications needed to thrive as an IBM Quantum Machine Learning Intern, and why are they important?

To excel as an IBM Quantum Machine Learning Intern, you typically need a background in computer science, physics, or a related field, with strong programming skills (Python) and foundational knowledge in quantum computing and machine learning. Familiarity with quantum programming frameworks such as Qiskit, as well as experience with machine learning libraries like TensorFlow or PyTorch, is highly beneficial. Strong analytical thinking, problem-solving abilities, and effective communication skills distinguish top candidates in this role. These competencies enable interns to contribute meaningfully to research projects, collaborate with interdisciplinary teams, and adapt to rapidly evolving technologies in quantum computing.
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Internship Ibm Quantum Machine Learning jobs near you
Infographic showing various Internship Ibm Quantum Machine Learning job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Engineer, Machine Learning

Engineer, Machine Learning

Beyond SOF

Washington, DC • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Machine Learning Engineer

Role Summary: The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems.

Main Responsibilities and Duties:

  • Develop and implement machine learning models and algorithms.
  • Collaborate with the engineering team to integrate machine learning solutions into projects.
  • Stay updated on the latest machine learning technologies and trends.
  • Develop and implement quantum machine learning models and algorithms.
  • Collaborate with quantum engineers to integrate quantum machine learning solutions into the company's projects.

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