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Quantum Machine Learning Jobs (NOW HIRING)

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 ...

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 ...

Working command of quantum mechanics fundamentals, quantum circuit model, gate-based and (preferably) annealing paradigms, key algorithms, error correction basics, and quantum machine learning.

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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 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.

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:
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 Calibrations Intern, Quantum Computing Services

Quantum Calibrations Intern, Quantum Computing Services

QuEra Computing, Inc.

Boston, MA • On-site

$16.25 - $21.75/hr

Full-time, Internship

Posted 9 days ago


Job description

Job Title: Intern, Quantum Calibrations, Quantum Computing Services
Job Type: Full-time, 3-6 months
Job Location: Boston, MA
Reports to: VP of Quantum Computing Services
Summary:
QuEra is seeking motivated interns to join our growing team focused on developing the calibration and performance characterization framework for QuEra's neutral-atom quantum computers. As an intern, you will collaborate with physicists, software engineers, and hardware specialists to design benchmarking protocols, build physics-informed models of device behavior, and develop predictive tools for real-time qubit state evolution.
This internship offers a unique opportunity to gain hands-on experience at the interface of quantum hardware and data science, contributing to the development of calibration and performance characterization frameworks for scalable, reliable neutral-atom quantum computers.
This role is part of QuEra's Quantum Computing Services team and is based at QuEra's Boston headquarters. The team's mission is to develop QuEra's neutral-atom technology into cutting-edge quantum computing products and services.
Core Responsibilities
  • Develop and test data analysis routines to fit, visualize, and interpret experimental data.
  • Design and execute device benchmarking and characterization experiments.
  • Build and apply Hamiltonian learning routines to infer effective system parameters from time-evolution data.
  • Develop predictive models for key performance metrics (gate fidelity, coherence, readout error) using time-series calibration history and machine learning methods.
  • Collaborate closely with physicists, engineers, and software developers to integrate your work into QuEra's operational stack.

Qualifications
Required
  • Foundational understanding of quantum mechanics and open quantum systems at the graduate level.
  • Experience designing and analyzing experiments involving quantum or physical systems
  • Strong programming skills in Python, including familiarity with libraries such as NumPy, SciPy, Pandas, and Matplotlib.
  • Enjoys hands-on experimentation, iteration, and uncovering structure in data.
  • Strong analytical, problem-solving, and communication skills.

Preferred
  • Familiarity with quantum gate characterization protocols (randomized benchmarking, process tomography, GST) and error budget decomposition.
  • Exposure to Hamiltonian learning, system identification, or quantum noise spectroscopy methods.
  • Experience applying machine learning (Gaussian processes, time-series models, or neural networks) to physical or experimental data.
  • Exposure to laboratory instrumentation, data acquisition, or experimental control systems.

Education & Experience
  • Currently pursuing or recently completed a Master's or PhD in Physics, Applied Physics, Computer Science, Electrical Engineering, Applied Mathematics, or a related quantitative field.

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.