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Machine Learning Quantum Computing Jobs in North Carolina

CoVar

Software Engineer

Durham, NC · On-site

... machine-learning algorithm integration. Responsibilities : • develop and maintain real-time ... computing hardware architectures and how they influence software architectural decisions • ...

Varsity Tutors

Linear Algebra Tutor

Charlotte, NC · 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 ...

Varsity Tutors

Linear Algebra Tutor

Raleigh, NC · 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 ...

Varsity Tutors

Linear Algebra Tutor

Durham, NC · 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 ...

Varsity Tutors

Linear Algebra Tutor

Winston Salem, NC · 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 ...

Varsity Tutors

Linear Algebra Tutor

Chapel Hill, NC · 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 ...

Varsity Tutors

Linear Algebra Tutor

Wilmington, NC · 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 ...

Varsity Tutors

Linear Algebra Tutor

Matthews, NC · 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 ...

Varsity Tutors

Linear Algebra Tutor

Greensboro, NC · 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 ...

Jobtailor

Data Scientist

Raleigh, NC · On-site

$110 - $170/hr

* Design and implement statistical and machine learning models for time-series forecasting, anomaly ... Familiarity with distributed computing concepts - PySpark, Optuna/Ray, Spark SQL, partitioning ...

Compunnel

Senior Data Scientist

Raleigh, NC · On-site

Key Responsibilities Experience with machine learning algorithms, including deep learning, gradient ... Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark ...

Duke University

Postdoctoral Associate

Durham, NC · On-site

Familiarity with machine learning applications in medical imaging. * Experience working with hardware-software integration and custom instrumentation. * Knowledge of research computing, image ...

Duke University

Postdoctoral Associate

Durham, NC · On-site

Familiarity with machine learning applications in medical imaging. * Experience working with hardware-software integration and custom instrumentation. * Knowledge of research computing, image ...

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All JobsMachine Learning Quantum Computing JobsMachine Learning Quantum Computing Jobs in North Carolina

Machine Learning Quantum Computing information

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 North Carolina?

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

What job categories do people searching Machine Learning Quantum Computing jobs in North Carolina look for?

The top searched job categories for Machine Learning Quantum Computing jobs in North Carolina are:

What cities in North Carolina are hiring for Machine Learning Quantum Computing jobs?

Cities in North Carolina with the most Machine Learning Quantum Computing job openings:

Machine Learning Quantum Computing jobs near you

Senior Analyst IT, Research Computing - AI Engagement Specialist

Duke University

Durham, NC • On-site

$105K - $105K/yr

Other

Re-posted yesterday

Duke University rating

6.7

Company rating: 6.7 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

486th of 618 rated colleges and universities

Job description

Senior Analyst IT, Research Computing - AI Engagement Specialist
Be You.
Research Computing at Duke University is looking for a Senior Analyst IT, Research Computing AI Engagement Specialist to help researchers effectively use artificial intelligence in their work. In this role, you will partner directly with faculty, students, and research staff to integrate AI tools-such as large language models, notebooks, and emerging AI platforms-into everyday research workflows.
You will focus on adoption, usability, and real research impact, helping translate complex research problems into practical, AI-assisted solutions. If you enjoy teaching, consulting, and building bridges between advanced computing services and researcher needs, this role offers an opportunity to shape how AI accelerates discovery at Duke.
Minimum Requirements:
  • Bachelor's degree in a quantitative, scientific, or computational discipline, or equivalent experience.
  • Strong proficiency in scientific programming and analysis (e.g., Python, MATLAB, R, C/C++).
  • Experience working in research computing or HPC environments.
  • Ability to translate research goals into effective computational workflows.
  • Strong communication and facilitation skills for working with diverse research communities.

Preferred Qualifications:
  • Experience supporting or conducting academic research.
  • Familiarity with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
  • Experience with AI tools (e.g., copilots, LLMs) in coding and data analysis workflows.
  • Experience designing or delivering technical training or workshops.
  • Advanced degree in a computational, engineering, or scientific field.

Work Arrangement:
This position is hybrid eligible. Work is primarily based in Durham, NC, with approximately two on-site days per month and occasional travel within North Carolina.
Be Bold.
  • Partner with researchers to integrate AI tools into coding, data analysis, and documentation workflows.
  • Provide one-on-one consultations and embedded support for research groups adopting AI-enabled workflows.
  • Design and deliver workshops on AI-assisted coding, LLMs in research, and reproducible AI workflows.
  • Lead and contribute to semester-based collaborative AI research projects.
  • Develop documentation, tutorials, and example workflows to support scalable AI adoption.

Choose Duke.
At Duke University, Research Computing supports world-class research across all disciplines. You will work alongside engineers, data scientists, and research facilitators who are passionate about enabling discovery through advanced computing. Duke offers a collaborative, mission-driven culture, opportunities for professional growth, and a competitive benefits package that supports your well-being and career development.
Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status.
Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.
Essential Physical Job Functions:
Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.

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About Duke University

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Duke is regarded as one of America's leading research universities. Located in Durham, North Carolina, Duke is positioned in the heart of the Research Triangle, which is ranked annually as one of the best places in the country to work and live. Duke has more than 15,000 students who study and conduct research in its 10 undergraduate, graduate, and professional schools. With about 40,000 employees, Duke is the third largest private employer in North Carolina, and it now has international programs in more than 150 countries.

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Colleges, universities, and professional schools and hospitals

Company size

10,000+ Employees

Headquarters location

Durham, NC, US

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