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Quantum Machine Learning Jobs (NOW HIRING)

INCA Engineering

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 ...

DCS CORPORATION

Quantum Engineer SME

Springfield, VA · On-site

$86K - $115K/yr

Apply principles and methods from quantum machine learning and related quantum computing fields to address highly complex, narrowly scoped technical challenges in engineering and other scientific ...

DCS Corp

Quantum Engineer SME

Springfield, VA

$86K - $114K/yr

Apply principles and methods from quantum machine learning and related quantum computing fields to address highly complex, narrowly scoped technical challenges in engineering and other scientific ...

DCS Corporation

Quantum Engineer SME

Springfield, VA

$86K - $115K/yr

Apply principles and methods from quantum machine learning and related quantum computing fields to address highly complex, narrowly scoped technical challenges in engineering and other scientific ...

The Pennsylvania State University

Quantum Machine Learning and AI: Develop novel quantum algorithms and computational frameworks for machine learning, generative AI, data analytics, and intelligent decision-making, while advancing ...

Tyto Athene, LLC

Quantum Algorithm Developer

Reston, VA · On-site

$175K - $215K/yr

Develop and evaluate Quantum Approximate Optimization Algorithms (QAOA), Variational Quantum Eigensolvers (VQE), Quantum Machine Learning (QML), Quantum Fourier Transform (QFT), Grover's Search, and ...

Tyto Athene, LLC

Quantum Algorithm Developer

Reston, VA · Hybrid

$175K - $215K/yr

Develop and evaluate Quantum Approximate Optimization Algorithms (QAOA), Variational Quantum Eigensolvers (VQE), Quantum Machine Learning (QML), Quantum Fourier Transform (QFT), Grover's Search, and ...

Tyto Athene, LLC

Quantum Algorithm Developer

Reston, VA · Hybrid

$155K - $195K/yr

Develop and evaluate Quantum Approximate Optimization Algorithms (QAOA), Variational Quantum Eigensolvers (VQE), Quantum Machine Learning (QML), Quantum Fourier Transform (QFT), Grover's Search, and ...

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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 Jul 23, 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.

Is quantum machine learning a good career?

Quantum machine learning is an emerging field combining quantum computing and machine learning, with growing research and industry interest. Careers in this area typically require strong backgrounds in quantum physics, computer science, and programming skills, often involving specialized tools like quantum algorithms and hardware. As the field develops, demand for experts is expected to increase, making it a promising career path for those with relevant expertise.

Which 3 jobs will survive AI?

Quantum machine learning professionals, data scientists, and software engineers are likely to continue thriving as AI advances, due to their specialized skills in developing, understanding, and managing complex algorithms and quantum computing tools. These roles require critical thinking, domain expertise, and adaptability to evolving technologies, making them less susceptible to automation. Continuous learning and certification in AI and quantum technologies can further enhance job security in these fields.

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 the salary of quantum machine learning?

Salaries for quantum machine learning professionals vary based on experience, education, and location, but typically range from $80,000 to over $150,000 annually. Entry-level roles may start lower, while experienced researchers or specialists with advanced skills in quantum computing and machine learning can earn higher salaries. Many positions also offer benefits such as research funding and access to cutting-edge technology.

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.

Is Q-Ctrl a real company?

Q-Ctrl is a real company that specializes in quantum control solutions and software for quantum computing. It provides tools and expertise to help improve qubit performance and error correction in quantum systems, which can be relevant for professionals in quantum machine learning roles.
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
Infographic showing various Quantum Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% 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

Full-time

Posted 15 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