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Machine Learning Quantum Computing Jobs (NOW HIRING)

Ecole de technologie superieure

$100K/yr

ChampsDescription HTMLIntroduction - titre Professor in quantum computing - MEIE Chair in Quantum ... Then consideration for complementary fields, including : * quantum machine learning; * quantum ...

The Pennsylvania State University

Apply machine learning and artificial intelligence techniques to improve the characterization, control, calibration, error mitigation, and overall performance of quantum computing systems and quantum ...

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Machine Learning Quantum Computing information

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$25.5K

$42.6K

$88K

How much do machine learning quantum computing jobs pay per year?

As of Jul 11, 2026, the average yearly pay for machine learning quantum computing 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 the difference between Machine Learning Quantum Computing vs Data Scientist?

AspectMachine Learning Quantum ComputingData Scientist
Required CredentialsAdvanced degrees in quantum computing, machine learning, or related fieldsDegree in data science, statistics, or computer science
Work EnvironmentResearch labs, tech companies focusing on quantum tech, academiaBusiness environments, tech companies, consulting firms
Industry UsageEmerging quantum tech industry, research institutionsFinance, healthcare, marketing, e-commerce
Common Search/ComparisonQuantum algorithms, quantum machine learningData analysis, predictive modeling

Machine Learning Quantum Computing specialists focus on developing algorithms that leverage quantum mechanics to enhance machine learning tasks, often requiring advanced knowledge of quantum physics. Data Scientists analyze and interpret large datasets using traditional machine learning techniques. While both roles involve machine learning, the former emphasizes quantum computing applications, whereas the latter centers on data analysis in conventional computing environments.

What are the key skills and qualifications needed to thrive as a Machine Learning Quantum Computing Specialist, and why are they important?

To thrive in Machine Learning Quantum Computing, you need strong foundations in quantum mechanics, linear algebra, and advanced machine learning concepts, typically supported by a degree in physics, computer science, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum platforms, and proficiency in Python are usually required, alongside experience with relevant certifications or coursework. Strong problem-solving skills, adaptability, and effective collaboration are vital soft skills in this interdisciplinary field. These competencies are crucial for driving innovation and bridging the gap between quantum computing and practical machine learning applications.

How do professionals in Machine Learning Quantum Computing typically collaborate with interdisciplinary teams?

Professionals in Machine Learning Quantum Computing often work closely with experts in physics, computer science, and engineering. Collaboration usually involves translating quantum concepts for machine learning specialists and vice versa, ensuring that algorithms are both theoretically sound and practically implementable on quantum hardware. Regular meetings, code reviews, and knowledge-sharing sessions are standard, as interdisciplinary insight is crucial for advancing research and developing scalable solutions. Effective communication and a willingness to learn from other domains are essential for success in these teams.

What is Machine Learning Quantum Computing?

Machine Learning Quantum Computing is an interdisciplinary field that combines principles of quantum computing with machine learning techniques. It aims to leverage the computational power of quantum computers to enhance the performance of machine learning algorithms, potentially solving complex problems more efficiently than classical computers. This area includes developing quantum algorithms for tasks such as classification, clustering, and optimization, as well as using machine learning to improve quantum hardware and error correction. Researchers expect that, as quantum hardware matures, this field could revolutionize data analysis, cryptography, and scientific discovery.
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What cities are hiring for Machine Learning Quantum Computing jobs? Cities with the most Machine Learning Quantum Computing job openings:
What states have the most Machine Learning Quantum Computing jobs? States with the most job openings for Machine Learning Quantum Computing jobs include:
What job categories do people searching Machine Learning Quantum Computing jobs look for? The top searched job categories for Machine Learning Quantum Computing jobs are:
Machine Learning Quantum Computing jobs near you
Infographic showing various Machine Learning Quantum Computing job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Senior Quantum Scientist - Quantum + AI

Senior Quantum Scientist - Quantum + AI

QuEra Computing, Inc.

Boston, MA • On-site

$145K - $227K/yr

Full-time

Re-posted 26 days ago

Job description

Summary
QuEra is seeking a talented AI scientist to explore the intersection of quantum computing and AI. This includes topics in "quantum for AI", such as development of quantum machine learning algorithms for generative tasks, integration of quantum computers into AI workflows, and augmentation of classical training with quantum methods. This may also include topics in "AI for quantum", such as AI compilation techniques for hardware execution, machine characterization and inference, decoding, and related topics. A strong candidate is expected to have deep hands-on experience with contemporary classical AI workflows, such as the large language models (LLMs), a strong understanding of the underlying theory of modern AI, and an understanding of quantum computing and quantum information theory.
As part of your role, you will spearhead efforts at QuEra to develop the next generation of quantum and AI algorithms guided by your experience with classical AI approaches. The role will include both cutting-edge research, as well as development and deployment of algorithms on the next generation of neutral-atom hardware. QuEra Computing is the leader in neutral-atom quantum computing, and is a front runner in the race towards utility-scale quantum computing. In this role, you will be at the forefront of integrating quantum algorithms with practical AI-driven toolchains, driving innovation across simulation, optimization, and quantum machine learning domains.
Qualifications
  • PhD in math, computer science, quantum physics, or equivalent professional experience
  • Strong hands-on expertise with modern AI/ML methods, such as deep learning and reinforcement learning, including practical usage of AI models such as LLMs in production or research environments.
  • Understanding of quantum information theory and quantum computing fundamentals
  • Experience deploying AI training and inference on HPC environments
  • An excellent track record of publications in AI and/or quantum computing

Preferred Qualifications
  • Strong experience in state-of-the-art quantum machine learning methods, such as quantum generative models and quantum reinforcement learning
  • Experience in scientific software development, including prior open-source contributions

The approximate base salary range for this position is $145,600 - $227,500.
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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