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Quantum Machine Learning Jobs (NOW HIRING)

Quantum Machines

Machine Learning Engineer

Boston, MA · On-site

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.

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

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 ...

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 ...

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 · 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 ...

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All JobsQuantum Machine Learning Jobs

Quantum Machine Learning information

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$25.5K

$42.6K

$88K

How much do quantum machine learning jobs pay per year?

As of Jun 9, 2026, the average yearly pay for 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 are the key skills and qualifications needed to thrive in the Quantum Machine Learning position, and why are they important?

To thrive in Quantum Machine Learning, you need a solid background in quantum physics, machine learning, linear algebra, and programming—often supported by a graduate degree in a related field. Familiarity with quantum computing frameworks such as Qiskit or Cirq, and experience with conventional ML libraries like TensorFlow or PyTorch are typically expected. Strong problem-solving abilities, effective communication, and a collaborative mindset help professionals stand out. Mastery of these skills and qualities is essential for tackling complex interdisciplinary challenges and driving innovation in this rapidly evolving field.

What types of projects or problems does a Quantum Machine Learning professional typically work on?

Quantum Machine Learning professionals often work on exploratory projects at the intersection of quantum computing and artificial intelligence, such as developing new algorithms that leverage quantum hardware for faster data processing or optimizing classical ML models using quantum techniques. Daily tasks may include designing experiments, simulating quantum systems, analyzing results, and collaborating with physicists and software engineers. The work can range from foundational research to applied development, depending on the organization's focus. These roles frequently involve teamwork and staying updated on emerging academic and industry advances to ensure innovative problem-solving approaches.

What is a Quantum Machine Learning job?

A Quantum Machine Learning (QML) job involves applying principles of quantum computing to machine learning tasks. Professionals in this field develop algorithms that leverage quantum systems to improve computational efficiency and solve complex problems faster than classical methods. Responsibilities often include researching quantum algorithms, implementing quantum circuits, and working with tools like Qiskit or TensorFlow Quantum. These roles are typically found in research labs, tech companies, and startups exploring the intersection of AI and quantum technology. Strong backgrounds in quantum mechanics, linear algebra, and computer science are essential.

More about Quantum Machine Learning jobs
What cities are hiring for Quantum Machine Learning jobs? Cities with the most Quantum Machine Learning job openings:
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Quantum Machine Learning jobs near you
Engineer, Machine Learning

Engineer, Machine Learning

Beyond SOF

Washington, DC

Other

Posted 22 days ago

Job description

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.

Apply