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Machine Learning Quantum Computing Jobs in North Carolina

Qualifications : Required : • Deep understanding of AI, machine learning, and software ... and quantum computing. • Optimize and fine-tune AI models for performance, scalability, and ...

GEN AI Engineer

Charlotte, NC · On-site

$78K - $105K/yr

The role requires expertise in AI, machine learning, and software engineering to create ... and quantum computing. • Optimize and fine-tune AI models for performance, scalability, and ...

... 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 ...

... computing systems or subsystems (e.g. ASR, NL, TTS, Voice Assistants, etc) Swift or Objective-C experience preferred (Rust, C++, or similar also acceptable) Experience building machine learning based ...

Machine Learning Compiler Engineer

Raleigh, NC · On-site

$80K - $106K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: If you're ... High performance computing experience * Polyhedral compiler optimization experience * Loop ...

... computing systems or subsystems (e.g. ASR, NL, TTS, Voice Assistants, etc) Swift or Objective-C experience preferred (Rust, C++, or similar also acceptable) Experience building machine learning based ...

... computing systems or subsystems (e.g. ASR, NL, TTS, Voice Assistants, etc) Swift or Objective-C experience preferred (Rust, C++, or similar also acceptable) Experience building machine learning based ...

NC State students 'think and do' with active learning on real-life problems across the entire ISE ... Develop and maintain an externally funded research program in AI, Quantum Computing, Optimization ...

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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, 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 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:
Gen AI Engineer

Gen AI Engineer

ApTask

Charlotte, NC • On-site

Full-time

Posted 5 days ago


Job description

Job Summary:
ApTask is a leading global provider of workforce solutions and talent acquisition services. As a GAI Expert/Software Engineer, you will be responsible for building applications that utilize generative AI to enhance contact center operations and streamline code generation.
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 Duke Energy 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.
Qualifications:
Required:
• Deep understanding of AI, machine learning, and software engineering principles.
• Strong foundation in writing maintainable, testable, and modular code.
• 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 Duke Energy 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.
Preferred:
• Proven 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.
• Excellent problem-solving, communication, and collaboration skills.
Company:
ApTask is a staffing and recruiting company offering staffing, project, and workforce solutions. Founded in 2010, the company is headquartered in Iselin, USA, with a team of 501-1000 employees. The company is currently Late Stage.

ApTask logo

About ApTask

Sourced by ZipRecruiter

ApTask is a leading staffing and recruitment company headquartered in Iselin, NJ, US. Since its inception, the company has been dedicated to providing its clients with expert staffing solutions across diverse industries. Specializing in workforce management, talent acquisition, and employee services, ApTask excels at matching the right talent with the right opportunities. They consistently strive to build and sustain great relationships with clients and candidates alike - a mission driven by their core values of trust, transparency, and delivery excellence.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Iselin, NJ, US

Year founded

2010

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