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Machine Learning Quantum Computing Jobs in Norfolk, VA

Varsity Tutors

Linear Algebra Tutor

Virginia Beach, VA · Remote

$40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

Varsity Tutors

Linear Algebra Tutor

Norfolk, VA · Remote

$40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

Peraton

Data Scientist (Senior)

Hampton, VA · On-site

$80K - $128K/yr

Familiarity with cloud computing platforms such as AWS , Azure , or Google Cloud . * Certifications such as Certified Data Scientist (CDS) , AWS Certified Machine Learning Specialty , or equivalent.

Peraton

Data Scientist (Senior)

Hampton, VA · On-site

$80K - $128K/yr

Familiarity with cloud computing platforms such as AWS , Azure , or Google Cloud . * Certifications such as Certified Data Scientist (CDS) , AWS Certified Machine Learning Specialty , or equivalent.

Peraton

Data Scientist (Senior)

Hampton, VA

$80K - $128K/yr

Familiarity with cloud computing platforms such as AWS , Azure , or Google Cloud . * Certifications such as Certified Data Scientist (CDS) , AWS Certified Machine Learning Specialty , or equivalent.

Varsity Tutors

Python Tutor

Virginia Beach, VA · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Python Tutor

Norfolk, VA · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Photon

GenAI Solution Architect - VA

Norfolk, VA · On-site

$61 - $80.25/hr

They must possess knowledge of Python, and machine learning frameworks. Responsibilities Develop ... computing clusters. Strong understanding of deep learning, natural language processing, and ...

Photon

GenAI Solution Architect - VA

Norfolk, VA · On-site

$61 - $80.25/hr

They must possess knowledge of Python, and machine learning frameworks. Responsibilities Develop ... computing clusters. Strong understanding of deep learning, natural language processing, and ...

NATO

YPP, Data Engineering & Artificial Intelligence

Norfolk, VA · On-site

$98.70K - $118.50K/yr

... machine learning, large and small language models (LLMs/SLMs), agentic AI systems, and cloud/high-performance computing platforms to support their responsible adoption within NATO; • Develop and ...

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Machine Learning Quantum Computing information

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$24.7K

$41.2K

$85.1K

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

As of May 29, 2026, the average yearly pay for machine learning quantum computing in Norfolk, VA is $41,201.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,400.00 and $44,500.00 per year, depending on experience, location, and employer.

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.

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 job categories do people searching Machine Learning Quantum Computing jobs in Norfolk, VA look for? The top searched job categories for Machine Learning Quantum Computing jobs in Norfolk, VA are:
What cities near Norfolk, VA are hiring for Machine Learning Quantum Computing jobs? Cities near Norfolk, VA with the most Machine Learning Quantum Computing job openings:
Machine Learning Quantum Computing jobs near you

Research Assistant Professor of Machine Learning and Control - School of Engineering, Architectur...

Hampton University Faculty

Hampton, VA • On-site

Full-time

Posted 4 days ago

Job description

Description
The Hampton University School of Engineering, Architecture and Aviation is seeking a candidate for appointment in the Department of Electrical and Computer Engineering as a Research Assistant Professor of Machine Learning and Control. The position is located in Hampton, Virginia and will remain open until it is filled.
Founded in 1868, Hampton University (www.hamptonu.edu) is located on approximately 300 acres of the Virginia Peninsula. It is a privately endowed, co-educational, nonsectarian institution of higher education and is fully accredited by the Southern Association of Colleges and Schools (SACS).
Hampton University, a Historically Black College and University (HBCU), is enjoying tremendous growth and development from traditional teaching to a more research-intensive institution. Hampton University is currently an R2 Carnegie classification institution of higher learning with a primarily undergraduate student population of approximately 4,200 students pursuing degrees in diverse areas of study.
Hampton University is a consortium member of the Research Institute for Tactical Autonomy (RITA), which is a University Affiliated Research Center (UARC) funded by the Department of Defense/War (DoD/DoW) / Department of the Air Force. The successful candidate must have U.S. citizenship due to federal export control and security compliance requirements of the RITA UARC.
Duties and Responsibilities
Hampton University is seeking a candidate for an appointment at the Research Assistant Professor of Machine Learning and Control. The individual selected for this position will be expected to contribute to the research missions of the Departments of Electrical & Computer Engineering and the RITA UARC by conducting research related to Autonomy, Artificial Intelligence and Machine Learning. The selected candidate will be responsible for supervising undergraduate students and working with the Engineering and Aviation faculty to complete research tasks assigned by the RITA UARC.
Qualifications
The successful applicant must have a master's degree or doctorate degree in either Computer Engineering, Computer Science, Electrical Engineering, or a closely related field with expertise in one or more of the following areas: machine learning, reinforcement learning, artificial intelligence, optimal control theory, autonomy, and/or cloud-based computing.
The successful candidate will possess the following skills and abilities:
  • An established record of research: The candidate should have a strong track record of publishing high-quality research papers in top-tier journals and conferences.
  • A deep understanding of Al/ML: The candidate should have a deep understanding of the theoretical foundations of Al/ML, as well as the latest advances in these fields. They should also be familiar with a variety of Al techniques.
  • A proven ability to mentor students: The candidate should have a proven ability to mentor and train undergraduate researchers. They should be able to create a supportive learning environment that encourages students to reach their full potential.

How to Apply
Review of applications will begin immediately and will continue until the position is filled. The compensation package will commensurate with experience. All interested applicants should submit a cover letter, curriculum vitae, research statement and a completed Hampton University Application for Faculty Employment form electronically (only) to: Joyce.shirazi@hamptonu.edu
Dr. Joyce Shirazi
Dean, School of Engineering, Architecture and Aviation
Hampton University Hampton, VA 23668
Joyce.shirazi@hamptonu.edu
Forms
Visit https://home.hamptonu.edu/hr/employment/ to retrieve the faculty employment application and other supplemental application materials.

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