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Machine Learning Quantum Computing Jobs in Charlotte, NC

Gen AI Engineer

Charlotte, NC ยท On-site

$57/hr

... AI and machine learning. * Experience with agentic technologies and their applications ... as blockchain and quantum computing. * Optimize and fine-tune AI models for performance ...

Summary of Position The Machine Learning effort is part of the Data Science team at Teladoc Health ... Build and optimize scalable Spark and Databricks workloads, leveraging distributed computing best ...

Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn and cloud computing platforms like Azure. Experience handling terabyte size datasets, diving into data ...

Overall 8 to 10 years of solid experience in the areas of data engineering machine learning data ... computing frameworks such as Spark Kubernetes ecosystem etc 4 to 6 years of experience with CICD ...

Linear Algebra Tutor

Charlotte, NC ยท 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 ...

Linear Algebra Tutor

Matthews, NC ยท 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 ...

... computing platforms (AWS, GCP, Azure) and familiarity with DevOps practices. Experience in deploying and maintaining AI systems in production environments. Solid understanding of machine learning ...

Work with clients to design, develop, and deploy new architectures to support machine learning ... using cloud computing or on-prem technologies * Design and lead development on scalable, high ...

Detectar, cualificar y desarrollar activamente nuevas oportunidades de negocio y ventas de soluciones basadas en Microsoft (ej. cloud computing , migracion, Machine Learning , bases de datos, etc.

Deep understanding of AI technologies, such as machine learning, natural language processing, and computer vision. * Strong knowledge of cloud computing platforms, such as AWS, Azure, or Google Cloud.

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Machine Learning Quantum Computing information

See Charlotte, NC salary details

$24.9K

$41.6K

$86K

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

As of Aug 16, 2026, the average yearly pay for machine learning quantum computing in Charlotte, NC is $41,592.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,700.00 and $44,900.00 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?

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 are popular job titles related to Machine Learning Quantum Computing jobs in Charlotte, NC?

For Machine Learning Quantum Computing jobs in Charlotte, NC, the most frequently searched job titles are:

What job categories do people searching Machine Learning Quantum Computing jobs in Charlotte, NC look for?

The top searched job categories for Machine Learning Quantum Computing jobs in Charlotte, NC are:

What cities near Charlotte, NC are hiring for Machine Learning Quantum Computing jobs?

Cities near Charlotte, NC with the most Machine Learning Quantum Computing job openings:

Gen AI Engineer

CYNET SYSTEMS

Charlotte, NC โ€ข On-site

$57/hr

Contractor

Re-posted 21 days ago


Job description

Job Overview:

Requirement/Must Have:

  • 1+ years of experience in software engineering with a focus on AI and machine learning.
  • Experience with agentic technologies and their applications.
  • Familiarity with generative AI frameworks and LLMs.
  • Knowledge of natural language processing (NLP) and computer vision.
  • Experience with DevOps practices and tools for CI/CD.
  • Strong programming skills in Python, React, Angular.
  • Experience with AWS cloud platform and services.
  • Familiarity with modularized, testable code and unit testing frameworks.
  • Appetite for continuous learning and staying current with emerging AI technologies.
  • Strong verbal and written communication skills.

Responsibilities:

  • Design, develop, and maintain applications that generate code, pipelines, and web applications automatically via prompts using generative and agentic AI.
  • Enhance contact center operations by integrating generative AI solutions that improve customer experience and operational efficiency.
  • Apply software design principles and common patterns to write clean, maintainable, and scalable code.
  • Leverage unit testing frameworks to ensure code quality and reliability.
  • Experiment with and implement cutting-edge LLM agentic technologies to enhance application capabilities.
  • Collaborate with cross-functional teams and business stakeholders to accelerate adoption of AI-powered tools.
  • Implement GAI solutions in alignment with AI Policies.
  • Conduct R&D to explore new AI techniques and future technologies such as blockchain and quantum computing.
  • Optimize and fine-tune AI models for performance, scalability, and accuracy.
  • Provide technical guidance and mentorship to junior team members.

Skills:

  • Excellent problem-solving, communication, and collaboration skills.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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