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Quantum Machine Learning Jobs (NOW HIRING)

$100K/yr

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

Design and implement novel algorithms that map optimization and machine-learning problems onto entropy-based photonic quantum processors, including post-processing pipelines. * Build software layers ...

Their work transforms raw quantum hardware into a usable platform by leveraging traditional software engineering alongside machine learning and other optimisation techniques. Together, these teams ...

Design and implement novel algorithms that map optimization and machine-learning problems onto entropy-based photonic quantum processors, including post-processing pipelines. * Build software layers ...

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How much do quantum machine learning jobs pay per year?

As of Sep 4, 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 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.

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 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.

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.
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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:

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, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Quantum Scientist - Machine Learning and Quantum Error Correction

QuEra Computing, Inc.

Boston, MA

$130K - $211K/yr

Full-time

Re-posted 17 days ago


Job description

Summary

QuEra Computing is seeking a talented, impact-motivated researcher with strong expertise in quantum error correction and decoding. You will be part of the team to develop and implement quantum error correction protocols and decoding algorithms on our unique hardware, with a particular focus on the use of machine learning methods for decoding and QEC design. You will have the opportunity to work with a vibrant community of academic and industry collaborators, and to help our growing team of diverse experts address fascinating challenges, from the development of hardware-efficient error correction schemes and decoding algorithms for our unique Rydberg atom quantum computer, to the design of protocols for executing fault-tolerant quantum logic, and finally to the implementation of fault-tolerant quantum algorithms with these methods.

Required Qualifications

  • PhD in Physics, Computer Science, Mathematics, Electrical Engineering, or equivalent experience
  • Experience in machine learning for scientific problems
  • Experience in quantum computing and quantum error correction
  • An exceptional publication record in relevant fields
  • Strong written and verbal communication skills
  • Strong software skills
Preferred Qualifications
  • Experience simulating error correction protocols
  • Experience collaborating with experimental teams and/or implementing error correction protocols on hardware
  • Experience with high-performance software development and real-time operations

The approximate base salary range for this position is $130,400 - $211,900.

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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