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Quantum Machine Learning Jobs (NOW HIRING)

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 ...

QCi

Senior Engineer, Quantum Algorithms

Hoboken, NJ · On-site

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 ...

QCi

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 ...

Visa

Staff Research Scientist

Foster City, CA · On-site

$169K/yr

The ideal candidate will focus on conducting advanced research in one or more subfields, for example, quantum error correction, quantum optimization, quantum simulation, quantum machine learning ...

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How much do quantum machine learning jobs pay per year?

As of Sep 3, 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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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, 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.

Postdoctoral Fellow - Applied Machine Learning in Quantum Systems

QuEra Computing Inc.

Boston, MA • On-site

$53K - $72K/yr

Full-time

Re-posted 8 days ago

Job description

Job Summary:
QuEra Computing Inc. focuses on developing computational methods for quantum systems. The role involves designing and prototyping methods for reliable quantum operations and collaborating with various teams to validate new components using experimental data.
Responsibilities:
• Develop and deploy machine learning models for high-fidelity quantum operation inference and control prediction.
• Design and prototype in-the-loop control mechanisms that adapt sequences based on measurement outcomes and system state.
• Collaborate with physics, quantum error-correction, hardware, and control teams to validate new stack components using experimental data and system-level performance.
Qualifications:
Required:
• Ph.D. or equivalent experience in Physics, Computer Science, Electrical Engineering, or a related field, with a strong background in quantum computing or quantum physics.
• Experience working with quantum computing platforms (neutral atoms, trapped ions, superconducting qubits, or similar).
• Demonstrated experience working with Machine Learning for inference and hardware in loop.
• Strong programming skills in Python, C++, or similar languages.
• Strong analytical and problem-solving skills, with the ability to take technical ownership.
• Effective communication skills and the ability to collaborate across physics, engineering, and software teams.
• Proficiency with Git and modern collaborative development workflows.
• Track record of publications or significant technical contributions in relevant areas.
Preferred:
• Experience with quantum control stacks or real-time control systems.
• Familiarity with fault-tolerant protocols, logical qubit architectures, or quantum error correction frameworks.
• Experience with performance-sensitive, low-latency, or distributed systems.
• Aware of advances in fault-tolerant quantum computing, in-the-loop control, and ML-driven control strategies.
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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