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Machine Learning Quantum Computing Jobs in Norfolk, VA

Linear Algebra Tutor

Norfolk, VA · Remote

$18 - $40/hr

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

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

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.

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.

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.

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.

Data Science Lead

Hampton, VA · On-site

$135K - $216K/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.

Data Science Lead

Hampton, VA · On-site

$135K - $216K/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.

Python Tutor

Virginia Beach, VA · Remote

$18 - $40/hr

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

Python Tutor

Norfolk, VA · Remote

$18 - $40/hr

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

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 ...

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Machine Learning Quantum Computing information

See Norfolk, VA salary details

$24.7K

$41.2K

$85.1K

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

As of Jul 14, 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 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.
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:
Senior Consultant - Computational Aerothermodynamics & Machine Learning

Senior Consultant - Computational Aerothermodynamics & Machine Learning

Analytical Mechanics Associates

Hampton, VA

$59 - $69/hr

Part-time

Medical, Dental, Vision, Retirement

Posted 3 days ago

New


Job description

Job Description:

56-$69 Analytical Mechanics Associates (AMA)is seeking a highly specialized Subject Matter Expert to serve in a part-time, advisory capacity. This consultant will provide strategic technical guidance and expert review at the intersection of computational aerothermodynamics, advanced modeling and simulation (M&S), and machine learning (ML).

Requiring a commitment of no more than 20 hours per month, this role is ideal for an established researcher, academic, or industry veteran looking to lend their expertise to cutting-edge aerospace challenges without a full-time commitment.

The hourly rate for this position is $59-$69 an hour commensurate with experience and education.

Key Responsibilities:
  • Technical Advisory:Provide expert-level consultation on computational aerothermodynamics methodologies, physics-based modeling, and simulation strategies.

  • Machine Learning Integration:Advise on the application and integration of machine learning algorithms (e.g., surrogate modeling, physics-informed neural networks, data-driven turbulence modeling) to enhance traditional CFD and aerothermodynamic workflows.

  • Design & Architecture Review:Evaluate and provide feedback on the architecture of high-performance physical models and numerical methods.

  • Strategic Roadmapping:Assist engineering teams in identifying emerging trends and state-of-the-art techniques in M&S and computational physics to maintain a competitive technical edge.

  • Mentorship & Collaboration:Serve as a sounding board for senior engineers and developers, helping to troubleshoot complex physical and algorithmic challenges.

Required Qualifications:
  • Education:Ph.D. in Aerospace Engineering, Mechanical Engineering, Physics, or a strictly related computational discipline.

  • Experience:A minimum of 5 years of active, post-Ph.D. professional experience specifically focused on computational aerothermodynamics, M&S, and ML.

  • Domain Expertise:Deep foundational knowledge of hypersonic and supersonic flows, high-temperature gas dynamics, and advanced computational fluid dynamics (CFD).

  • Machine Learning Proficiency:Proven track record of applying machine learning, deep learning, or advanced statistical modeling to complex fluid dynamics or thermodynamic problems.

  • Communication:Exceptional ability to distill complex theoretical concepts into actionable engineering guidance.

Preferred Qualifications:
  • Familiarity with modern, high-performance software architecture, particularly the development of robust C++ libraries for CFD codes (e.g., providing complex gas properties).

  • Experience with heterogeneous computing environments, including GPU acceleration and parallel programming models (e.g., OpenMP, CUDA, Kokkos).

  • Deep knowledge of physics of high-enthalpy flows, including thermal radiation, chemical kinetics, and transport processes.

  • History of peer-reviewed publications in relevant aerospace, physics, or computational science journals.

This position requires U.S. Citizenship or Permanent Residence.


Analytical Mechanics Associates (AMA) is proud of our customer relationships, our diverse and dynamic work environment, and our employees' career satisfaction. AMA is a small business with a wide reach; headquartered in Hampton, VA, AMA has operations in Greenbelt, MD; Huntsville, AL; Dallas and Houston, TX; Denver, CO; Mountain View, CA; and Edwards Air Force Base, CA. With over 60 years of experience, AMA specializes in aerospace engineering, science, analytics, information technology, and visualization solutions. AMA combines the best of engineering, science, and mathematics capabilities with the latest in information technologies, visualization, and multimedia to build creative solutions. We offer competitive salaries and a substantial benefits package, including but not limited to paid personal and federally recognized holiday leave, salary deferrals into a 401(k)-matching plan with immediate vesting, tuition reimbursement, short/long term disability plans, and a variety of medical, dental, and vision insurance options.
AMA is committed to the professional growth of every employee, understanding that the successes of our employees drive our success. We provide a work environment that is engaging, collaborative, and supportive. To learn more about our company, please visit our website at www.ama-inc.com/careers and follow us on Facebook and LinkedIn.


AMA is an Equal Opportunity Employer and does not discriminate against any applicant for employment or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws.