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Quantum Machine Learning Jobs (NOW HIRING)

IBM

Research Scientist

Chicago, IL · On-site

They are seeking a research scientist to develop novel quantum algorithms for simulation and machine learning, collaborating with leading scientists to push the boundaries of technology.

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$25.5K

$42.6K

$88K

How much do quantum machine learning jobs pay per year?

As of Jun 30, 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.

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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 June 2026, with employment types broken down into 100% Full Time. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Quantum Innovation Postdoctoral Fellow - Quantum Applications

Quantum Innovation Postdoctoral Fellow - Quantum Applications

QuEra Computing Inc.

Boston, MA • On-site

$53K - $72K/yr

Full-time

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

Key responsibilities

  • Design algorithms and quantum protocols suited to neutral atom platforms and collaborate with software and hardware teams on implementation.

  • Propose and evaluate scalable quantum architectures, error correction schemes, and control strategies.

  • Collaborate with experimental teams to guide system design, interpret results, and validate models.

Job description

Job Summary:
QuEra Computing, Inc. is seeking a talented and driven Postdoctoral Fellow with a background in quantum physics, quantum error correction or quantum machine learning to contribute to our neutral atom quantum computing research and innovation efforts. The ideal candidate will help develop new quantum computing applications, design and evaluate quantum algorithms that inform both near-term applications and long-term architectures.
Responsibilities:
• Design algorithms and quantum protocols suited to neutral atom platforms and collaborate with software and hardware teams on implementation.
• Propose and evaluate scalable quantum architectures, error correction schemes, and control strategies.
• Explore innovative applications of neutral atom systems in quantum simulation, optimization, machine learning and computation.
• Collaborate with experimental teams to guide system design, interpret results, and validate models.
• Contribute to technical publications, white papers, and patent filings.
• Participate in internal knowledge-sharing sessions and external scientific outreach (e.g., conferences, workshops).
Qualifications:
Required:
• Ph.D. in Physics, Quantum Information, Theoretical AMO Physics, or a closely related field.
• Strong background in quantum information science, quantum simulation, and quantum application development
• Experience developing and analyzing quantum algorithms or protocols.
• Proficiency with numerical tools (e.g., Python, Julia, QuTiP, or custom simulation code).
• Track record of peer-reviewed publications in top-tier journals.
Preferred:
• Familiarity with neutral atom platforms, including Rydberg physics, optical lattices, or tweezer arrays.
• Demonstrated expertise in theoretical modeling of atomic systems or quantum platforms.
• Experience with Hamiltonian simulation, variational quantum algorithms (VQAs), and quantum error correction.
• Experience in working across theory and application, including engagement with experimentalists and engineers.
• Interest in translating fundamental research into commercial quantum technologies.
Company:
Quantum computing is moving from "one day" to "day one." QuEra Computing is leading that transition. Founded in 2018, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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