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.
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.
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 ...
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 ...
Research Scientist - Frontier AI/ML & Quantum Algorithms
San Francisco, CA · On-site
$200K - $300K/yr
We are looking for a Research Scientist who can help define Quantum AI: not just quantum machine learning, but the broader study of how fault-tolerant quantum computation can transform the primitives ...
Research Scientist - Frontier AI/ML & Quantum Algorithms
San Francisco, CA · On-site
$200K - $300K/yr
We are looking for a Research Scientist who can help define Quantum AI: not just quantum machine learning, but the broader study of how fault-tolerant quantum computation can transform the primitives ...
The role involves developing and implementing quantum error correction protocols and decoding algorithms, utilizing machine learning methods to enhance these processes. Responsibilities : • develop ...
The role involves developing and implementing quantum error correction protocols and decoding algorithms, utilizing machine learning methods to enhance these processes. Responsibilities : • develop ...
You will combine machine learning methods and quantum chemistry to build fast, accurate models that power small-molecule drug discovery. You will work with world-class computational and experimental ...
You will combine machine learning methods and quantum chemistry to build fast, accurate models that power small-molecule drug discovery. You will work with world-class computational and experimental ...
... 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 ...
... 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 ...
Quantum Scientist - Machine Learning and Quantum Error Correction
Boston, MA · On-site
$130K - $211K/yr
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 ...
Quantum Scientist - Machine Learning and Quantum Error Correction
Boston, MA · On-site
$130K - $211K/yr
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 ...
Quantum Scientist - Machine Learning and Quantum Error Correction
Boston, MA · On-site
$130K - $211K/yr
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 ...
Quantum Scientist - Machine Learning and Quantum Error Correction
Boston, MA · On-site
$130K - $211K/yr
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 ...
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 ...
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 ...
Postdoctoral Fellow - Applied Machine Learning in Quantum Systems
Boston, MA · On-site
$110K - $120K/yr
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 ...
Postdoctoral Fellow - Applied Machine Learning in Quantum Systems
Boston, MA · On-site
$110K - $120K/yr
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 ...
Quantum Machine Learning * Quantum Sensing * Quantum Applications * Quantum-safe or Quantum-resistant Cryptography We invite prominent leaders in Quantum Computing . Areas include quantum computing ...
Quantum Machine Learning * Quantum Sensing * Quantum Applications * Quantum-safe or Quantum-resistant Cryptography We invite prominent leaders in Quantum Computing . Areas include quantum computing ...
Postdoctoral Fellow - Applied Machine Learning in Quantum Systems
Boston, MA · On-site
$53K - $72K/yr
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 ...
Postdoctoral Fellow - Applied Machine Learning in Quantum Systems
Boston, MA · On-site
$53K - $72K/yr
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 ...
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 ...
Conduct cutting-edge research in areas such as quantum optimization and quantum machine learning. * Collaborate with quantum hardware vendors to co-design algorithms that maximize performance on ...
Conduct cutting-edge research in areas such as quantum optimization and quantum machine learning. * Collaborate with quantum hardware vendors to co-design algorithms that maximize performance on ...
Conduct cutting-edge research in areas such as quantum optimization and quantum machine learning. * Collaborate with quantum hardware vendors to co-design algorithms that maximize performance on ...
Conduct cutting-edge research in areas such as quantum optimization and quantum machine learning. * Collaborate with quantum hardware vendors to co-design algorithms that maximize performance on ...
(Senior) Scientist, Machine Learning
Cambridge, MA · On-site
$100K - $136K/yr
Experience with quantum chemistry, DFT, electronic structure methods, or post-DFT descriptors ... machine learning applications and an ability to curate, clean, integrate, and analyze complex ...
(Senior) Scientist, Machine Learning
Cambridge, MA · On-site
$100K - $136K/yr
Experience with quantum chemistry, DFT, electronic structure methods, or post-DFT descriptors ... machine learning applications and an ability to curate, clean, integrate, and analyze complex ...
(Senior) Scientist, Machine Learning
$100K - $136K/yr
Experience with quantum chemistry, DFT, electronic structure methods, or post-DFT descriptors ... machine learning applications and an ability to curate, clean, integrate, and analyze complex ...
(Senior) Scientist, Machine Learning
$100K - $136K/yr
Experience with quantum chemistry, DFT, electronic structure methods, or post-DFT descriptors ... machine learning applications and an ability to curate, clean, integrate, and analyze complex ...
Senior Engineer, Quantum Algorithms (Optimization)
$143K - $201K/yr
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 ...
Quick apply
Senior Engineer, Quantum Algorithms (Optimization)
$143K - $201K/yr
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 ...
Quantum Calibrations Intern, Quantum Computing Services
Boston, MA · On-site
$16.25 - $21.75/hr
Intern, Quantum Calibrations, Quantum Computing Services Job Type: Full-time, 3-6 months Job ... Experience applying machine learning (Gaussian processes, time-series models, or neural networks ...
Quantum Calibrations Intern, Quantum Computing Services
Boston, MA · On-site
$16.25 - $21.75/hr
Intern, Quantum Calibrations, Quantum Computing Services Job Type: Full-time, 3-6 months Job ... Experience applying machine learning (Gaussian processes, time-series models, or neural networks ...
Quantum Calibrations Intern, Quantum Computing Services
Boston, MA · On-site
$16.25 - $21.75/hr
Intern, Quantum Calibrations, Quantum Computing Services Job Type: Full-time, 3-6 months Job ... Experience applying machine learning (Gaussian processes, time-series models, or neural networks ...
Quantum Calibrations Intern, Quantum Computing Services
Boston, MA · On-site
$16.25 - $21.75/hr
Intern, Quantum Calibrations, Quantum Computing Services Job Type: Full-time, 3-6 months Job ... Experience applying machine learning (Gaussian processes, time-series models, or neural networks ...
Quantum Machine Learning information
See salary details
$25.5K - $31.2K
5% of jobs
$33.1K is the 25th percentile. Wages below this are outliers.
$31.2K - $36.9K
59% of jobs
$36.9K - $42.5K
9% of jobs
$43K is the 75th percentile. Wages above this are outliers.
$42.5K - $48.2K
17% of jobs
$48.2K - $53.9K
4% of jobs
$53.9K - $59.6K
2% of jobs
$59.6K - $65.3K
3% of jobs
$65.3K - $71K
0% of jobs
$71K - $76.6K
0% of jobs
$76.6K - $82.3K
0% of jobs
$82.3K - $88K
0% of jobs
$25.5K
$42.6K
$88K
How much do quantum machine learning jobs pay per year?
As of Jun 27, 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:
What job categories do people searching Quantum Machine Learning jobs look for? The top searched job categories for Quantum Machine Learning jobs are:
IBM rating
7.9
Based on 72 frontline employees who took The Breakroom Quiz
102nd of 192 rated software companies
Job description
Job Summary:
IBM Research is the innovation engine of IBM, focusing on advancing AI, hybrid cloud, and quantum computing. 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.
Responsibilities:
• Develop novel quantum algorithms that combine quantum and classical resources for simulation of physical systems, including ground states, thermal states, time evolution, and open-system models.
• Demonstrate quantum algorithms on real-world applications in physics, chemistry, and materials science.
• Improve upon and develop novel quantum machine learning methods that combine quantum and classical resources for learning tasks on classical and quantum data.
• Develop hybrid workflows that combine measurement data from quantum experiments with classical ML to predict properties of quantum systems.
• Develop learning theory results for QML, including generalization and complexity bounds, and identify settings showing separation between quantum and classical approaches.
• Expand the quantum ecosystem and connect to ML and quantum communities through working groups and collaborations.
Qualifications:
Required:
• Experience in academic graduate program related to applicable fields (e.g., quantum computing, quantum algorithms, machine learning, computer science, statistics, information theory).
• Experience developing and/or analyzing quantum algorithms for simulation (ground states, thermal states, dynamics, or related).
• Experience with quantum machine learning and/or hybrid quantum-classical learning workflows.
• Experience implementing research code, ML frameworks, and Qiskit.
• Experience running demonstrations on quantum processors.
Preferred:
• Doctorate Degree
• Strong publication record in high-impact journals or top conference proceedings.
• Programming experience in core & scientific language (e.g. python, numpy, scipy, matplotlib) and Qiskit.
• Experience with tensor-network methods for many-body systems (e.g., MPS/MPO), including DMRG, and with iterative ground-state solvers for extremal eigenpairs (e.g., Lanczos, Davidson).
• Familiarity with Git and/or Github.
• Successful record of collaborative work.
• Experience leading research projects in industry or academically.
Company:
IBM provides technology and consulting, including software, infrastructure systems, and cloud-based solutions. Founded in 1911, the company is headquartered in Armonk, USA, with a team of 10001+ employees. The company is currently Late Stage.
IBM Research is the innovation engine of IBM, focusing on advancing AI, hybrid cloud, and quantum computing. 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.
Responsibilities:
• Develop novel quantum algorithms that combine quantum and classical resources for simulation of physical systems, including ground states, thermal states, time evolution, and open-system models.
• Demonstrate quantum algorithms on real-world applications in physics, chemistry, and materials science.
• Improve upon and develop novel quantum machine learning methods that combine quantum and classical resources for learning tasks on classical and quantum data.
• Develop hybrid workflows that combine measurement data from quantum experiments with classical ML to predict properties of quantum systems.
• Develop learning theory results for QML, including generalization and complexity bounds, and identify settings showing separation between quantum and classical approaches.
• Expand the quantum ecosystem and connect to ML and quantum communities through working groups and collaborations.
Qualifications:
Required:
• Experience in academic graduate program related to applicable fields (e.g., quantum computing, quantum algorithms, machine learning, computer science, statistics, information theory).
• Experience developing and/or analyzing quantum algorithms for simulation (ground states, thermal states, dynamics, or related).
• Experience with quantum machine learning and/or hybrid quantum-classical learning workflows.
• Experience implementing research code, ML frameworks, and Qiskit.
• Experience running demonstrations on quantum processors.
Preferred:
• Doctorate Degree
• Strong publication record in high-impact journals or top conference proceedings.
• Programming experience in core & scientific language (e.g. python, numpy, scipy, matplotlib) and Qiskit.
• Experience with tensor-network methods for many-body systems (e.g., MPS/MPO), including DMRG, and with iterative ground-state solvers for extremal eigenpairs (e.g., Lanczos, Davidson).
• Familiarity with Git and/or Github.
• Successful record of collaborative work.
• Experience leading research projects in industry or academically.
Company:
IBM provides technology and consulting, including software, infrastructure systems, and cloud-based solutions. Founded in 1911, the company is headquartered in Armonk, USA, with a team of 10001+ employees. The company is currently Late Stage.
About IBM
Sourced by ZipRecruiter
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
Industry
It services
Company size
10,000+ Employees
Headquarters location
Armonk, NY, US
Year founded
1911