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Quantum Machine Learning Jobs (NOW HIRING)

Leland

Quantum Computing Coach

$17 - $22/hr

This role includes teaching core skills in quantum algorithms and programming, quantum hardware and systems, quantum cryptography and security, and quantum machine learning, as well as guiding ...

Qualcomm

Machine Learning Researcher

San Diego, CA · On-site

... quantum machine learning). • Develops and publishes research findings in the form of presentations and conference papers. • Conducts research on machine learning and develops innovative or ...

Ecole de technologie superieure

$100K/yr

Then consideration for complementary fields, including : * quantum machine learning; * quantum arches; * tensor networks; * hybrid quantum-classical techniques for NISQ devices. Competences - titre ...

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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.
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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.
Quantum Innovation Postdoctoral Fellow - Quantum Applications

Quantum Innovation Postdoctoral Fellow - Quantum Applications

QuEra Computing, Inc.

Boston, MA

$110K - $120K/yr

Other

Posted 26 days ago

Job description

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.  This role is a fixed-term assignment.  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. This is a unique opportunity to shape the design direction of one of the most promising quantum computing platforms, while working in close collaboration with QuEra scientists, engineers, and product teams in an industry setting.
 
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.
  • 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).
Required Qualifications
  • 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 Qualifications
  • 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.

The approximate base salary range for this position is $110,000-$120,000.

We consistently monitor external market data and update base salary ranges accordingly.  We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience.  In addition to our base salary offerings, we also provide equity grants for all new hires.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

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