ZipRecruiter

Log In

1

Machine Learning Quantum Computing Jobs (NOW HIRING)

Umd

ARLIS Quantum Research Professional

College Park, MD · On-site

$17.75 - $24.50/hr

... intelligence / machine learning, quantum science, and human-machine teaming. Researchers ... Critically evaluating the utility of emerging quantum computing, sensing, and networking ...

Quantum Motion

Senior Quantum Engineer

Riverdale Park, MD · On-site

$90 - $120/hr

Our Team Quantum Motion is a fast-growing quantum computing scale-up headquartered in London, with ... Strong experience with machine learning techniques and their application to complex physical ...

previous page

Showing results 41-60

All JobsTechnology JobsData JobsData Scientist JobsMachine Learning Quantum Computing Jobs

Machine Learning Quantum Computing information

See salary details

$25.5K

$42.6K

$88K

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

As of Aug 22, 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 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.

What are the key skills and qualifications needed to thrive as a machine learning quantum computing specialist?

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 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.

More about Machine Learning Quantum Computing jobs

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 August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% 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 Innovation Postdoctoral Fellow - Quantum Applications

QuEra Computing, Inc.

Boston, MA • On-site

$110K - $120K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

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 neutral atom quantum computing research and innovation efforts. This role is a fixed-term assignment. The ideal candidate will help develop new quantum computing applications, design and evaluate quantum algorithms that inform both near-term applications and long-term architectures. This is a unique opportunity to shape the design direction of one of the most promising quantum computing platforms, while working in close collaboration with QuEra scientists, engineers, and product teams in an industry setting. Key Responsibilities
  • Design algorithms and quantum protocols suited to neutral atom platforms and collaborate with software and hardware teams on implementation.
  • Propose and evaluate scalable quantum architectures, error correction schemes, and control strategies.
  • Explore innovative applications of neutral atom systems in quantum simulation, optimization, machine learning and computation.
  • Collaborate with experimental teams to guide system design, interpret results, and validate models.
  • Contribute to technical publications, white papers, and patent filings.
  • Participate in internal knowledge-sharing sessions and external scientific outreach (e.g., conferences, workshops).
Required Qualifications
  • Ph.D. in Physics, Quantum Information, Theoretical AMO Physics, or a closely related field.
  • Strong background in quantum information science, quantum simulation, and quantum application development
  • Experience developing and analyzing quantum algorithms or protocols.
  • Proficiency with numerical tools (e.g., Python, Julia, QuTiP, or custom simulation code).
  • Track record of peer-reviewed publications in top-tier journals.
Preferred Qualifications
  • Familiarity with neutral atom platforms, including Rydberg physics, optical lattices, or tweezer arrays.
  • Demonstrated expertise in theoretical modeling of atomic systems or quantum platforms.
  • Experience with Hamiltonian simulation, variational quantum algorithms (VQAs), and quantum error correction.
  • Experience in working across theory and application, including engagement with experimentalists and engineers.
  • Interest in translating fundamental research into commercial quantum technologies.
The approximate base salary range for this position is $110,000-$120,000. 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. #LI-NB1

Apply