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Quantum Machine Learning Jobs (NOW HIRING)

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 · 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 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 ...

Tyto Athene, LLC

Quantum Algorithm Developer

$150K - $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 ...

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

$150K - $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 Aug 12, 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 technology advances, demand for experts in quantum algorithms and data analysis is expected to increase, making it a promising but highly specialized career path.

What are the key skills and qualifications needed to thrive in quantum machine learning?

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 does a quantum machine learning professional do?

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?

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:
What states have the most Quantum Machine Learning jobs? States with the most job openings for Quantum Machine Learning jobs include:
What job categories do people searching Quantum Machine Learning jobs look for? The top searched job categories for Quantum Machine Learning jobs are:
Quantum Machine Learning jobs near you
Infographic showing various Quantum Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Engineer, Machine Learning

Beyond SOF

Washington, DC • On-site

$120 - $160/hr

Other

Re-posted 3 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.
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