ZipRecruiter

Log In

1

Machine Learning Quantum Computing Jobs (NOW HIRING)

INCA Engineering

Quantum SME

Alexandria, VA · On-site

Provide technical knowledge and analysis of quantum computing technologies such as quantum machine learning, quantum architectures, and quantum simulation. * Provide functional analysis, design ...

INCA Engineering

Be Seen First

Quantum SME

Springfield, VA · On-site

$86K - $114K/yr

Provide technical knowledge and analysis of quantum computing technologies such as quantum machine learning, quantum architectures, and quantum simulation. * Provide functional analysis, design ...

INCA Engineering

Quantum SME

Washington, DC · On-site

Provide technical knowledge and analysis of quantum computing technologies such as quantum machine learning, quantum architectures, and quantum simulation. * Provide functional analysis, design ...

INCA Engineering

Quantum SME

Springfield, VA · On-site

Provide technical knowledge and analysis of quantum computing technologies such as quantum machine learning, quantum architectures, and quantum simulation. * Provide functional analysis, design ...

Core4ce

Quantum Engineer SME

Springfield, VA

$86K - $114K/yr

Provides technical knowledge and analysis of quantum computing technologies such as quantum machine learning, quantum architectures, and quantum simulation. * Provides functional analysis, design ...

Core4ce

Quantum Engineer SME

Springfield, VA · On-site

$86K - $114K/yr

Provides technical knowledge and analysis of quantum computing technologies such as quantum machine learning, quantum architectures, and quantum simulation. * Provides functional analysis, design ...

next page

Showing results 1-20

All 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 Jun 21, 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.
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 June 2026, with employment types broken down into 1% Internship, 1% Full Time, 93% Part Time, and 5% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Quantum SME

INCA Engineering

Alexandria, VA • On-site

Full-time

Medical, Retirement, PTO

Posted 15 days ago

Job description

Title: Quantum Subject Matter Expert (SME)

Job Description

INCA Engineering is seeking a Quantum Engineer SME to provide expert guidance on quantum computing technologies in support of complex GEOINT challenges. The role involves analysis, system design, and performance evaluation using quantum and classical methods.

As a Quantum Subject Matter Expert (SME) you will provide on-site technical support in quantum science analysis, system design, and performance evaluation using quantum and classical methods

Key Responsibilities:

  • Provide technical knowledge and analysis of quantum computing technologies such as quantum machine learning, quantum architectures, and quantum simulation.
  • Provide functional analysis, design, integration, documentation and advice on difficult GEOINT problems that require significant knowledge and/or experience in quantum computing technologies.
  • Apply principles, methods, and knowledge of functional areas (quantum machine learning and related quantum computing technologies) for difficult and narrowly defined technical problems in engineering and other scientific applications.
  • Ability to conduct trade studies and provide analysis to review/asses proposed quantum machine learning methods, technical reports, assess impacts on product quality, and characterize performance using quantum simulation (or related technologies) to support verification or product quality.
  • SME topic areas include R&D of quantum computing, quantum machine learning, classical machine learning, classical computing, and GEOINT data domains.

Qualifications:

  • Degree in Computer Science, Physics, Mathematics or related discipline
  • Active TS/SCI security clearance.
  • 5+ years of demonstrated experience supporting quantum computing
  • Experience with Intelligence Community or related mission space
  • 15 years of experience and a PhD degree. Or a MA/MS degree and 18 years of experience. Or a BS/BS degree and 20 years of experience and be recognized within a discipline relevant to the work associated with the position.*
  • 3 or more total years of experience working with one or more topic areas of Quantum Algorithms, Quantum Machine Learning, Quantum Clouds, Quantum simulation tools, PennyLane, Qiskit, or Quantum Encoding.
  • 3 or more total years of experience developing algorithms from one or more topic areas of image processing, object detection, image classification, synthetic image generation, anomaly detection or graph-based routing.
  • 3 or more total years of experience developing algorithms with one or more topic areas of GEOINT missions, Electro-Optical and / or Hyper-Spectral Imagery.
  • 2 or more total years of experience creating briefing materials and technical documents translating quantum computing concepts to non-technical audiences.

Location: Springfield, VA

#CJ

INCA Engineering is a Veteran Owned small business providing research and technology development solutions that deliver positive impact on our world through creative innovation. Since 2008, we have combined a passion for our work with deep technical expertise to tackle our clients' greatest challenges.

INCA Engineering offers an excellent benefits package, professional development, and fosters a highly skilled workforce while maintaining a healthy work-life balance. Benefits include personal time off, medical Insurance and 401k plan.

INCA Engineering is an equal opportunity employer that values diversity at all levels. (EOE – Minorities/Females/ Protected Veterans Status/Disability Status/Sexual Orientation/Gender Identity)