ZipRecruiter

Log In

1

Quantum Machine Learning Engineer Jobs in South Carolina

Varsity Tutors

Machine Learning Tutor

Columbia, SC · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Mount Pleasant, SC · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Florence, SC · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Charleston, SC · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Greenville, SC · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

next page

Showing results 1-20

All JobsQuantum Machine Learning Engineer JobsQuantum Machine Learning Engineer Jobs in South Carolina

Quantum Machine Learning Engineer information

See South Carolina salary details

$29.2K

$119.5K

$179.6K

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

As of Aug 30, 2026, the average yearly pay for quantum machine learning engineer in South Carolina is $119,492.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,200.00 and $143,800.00 per year, depending on experience, location, and employer.

What is a quantum machine learning engineer?

A Quantum Machine Learning Engineer is a professional who combines expertise in quantum computing and machine learning to develop algorithms and solutions that leverage quantum hardware for advanced data processing tasks. They work on designing, implementing, and testing quantum algorithms that can solve problems faster or more efficiently than classical computers. Their work often involves collaborating with physicists, data scientists, and software engineers to bridge the gap between quantum theory and practical applications. This role requires strong backgrounds in quantum mechanics, computer science, and statistical learning techniques.

What are the key skills and qualifications needed to thrive as a quantum machine learning engineer?

To thrive as a Quantum Machine Learning Engineer, you need a strong background in quantum computing, machine learning, linear algebra, and programming (often Python or C++), typically supported by an advanced degree in physics, computer science, or a related field. Familiarity with platforms like Qiskit, Cirq, or TensorFlow Quantum, and knowledge of quantum algorithms and cloud-based quantum computing services are essential. Creative problem-solving, analytical thinking, and strong collaboration skills help distinguish top performers in this interdisciplinary field. Mastery of these skills enables innovation in developing and deploying quantum machine learning solutions to solve complex, cutting-edge problems.

How do quantum machine learning engineers typically collaborate with classical machine learning teams and quantum hardware specialists?

Quantum Machine Learning Engineers often serve as a bridge between classical machine learning experts and quantum hardware specialists. They work closely with data scientists to adapt machine learning algorithms for quantum environments and collaborate with hardware teams to ensure algorithms are optimized for specific quantum processors. Regular cross-functional meetings, code reviews, and joint problem-solving sessions are common, fostering a highly collaborative work environment. This collaboration is essential for successfully integrating quantum solutions into existing workflows and advancing the organization's quantum computing initiatives.

Is quantum machine learning a good career?

Quantum machine learning engineers work at the intersection of quantum computing and machine learning, focusing on developing algorithms that leverage quantum hardware. The field is emerging with high growth potential, requiring skills in quantum algorithms, programming languages like Python, and understanding of both quantum mechanics and machine learning principles. As quantum technology advances, demand for specialists in this area is expected to increase, making it a promising career path for those with relevant expertise.

What are popular job titles related to Quantum Machine Learning Engineer jobs in South Carolina?

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

What job categories do people searching Quantum Machine Learning Engineer jobs in South Carolina look for?

The top searched job categories for Quantum Machine Learning Engineer jobs in South Carolina are:

What cities in South Carolina are hiring for Quantum Machine Learning Engineer jobs?

Cities in South Carolina with the most Quantum Machine Learning Engineer job openings:

Quantum Machine Learning Engineer jobs near you
Infographic showing various Quantum Machine Learning Engineer job openings in South Carolina as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $119,492 per year, or $57.4 per hour.

WAE - Quantum Algorithms Researcher

Patrick, SC • On-site

LSU AgCenter
See more jobs at LSU AgCenterexternal

Part-time

Medical, Dental, Vision, Life, Retirement

Posted 22 days ago

Job description

All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.Job Posting Title:WAE - Quantum Algorithms ResearcherPosition Type:Wages as Earned (Fixed Term)Department:LSUAM Engineering - Petroleum - Integrated Petroleum Engineering and Analytics Research (Jyotsna Sharma (00057933))Work Location:3207 Patrick F. Taylor HallPay Grade:TemporaryJob Description:

The Petroleum Engineering department at Louisiana State University is seeking a motivated researcher or engineer to develop, test, and apply quantum computing workflow or quantum-inspired approaches to analyze datasets from sensing systems or energy-industry-relevant problems. The project may also involve signal processing, machine learning, or other computational techniques. The exact project scope may be refined based on program needs and the candidate's expertise.

100% Develop, test, and apply quantum computing workflow or quantum-inspired approaches to analyze datasets from sensing systems or energy-industry-relevant problems. Contribute to publishable research outcomes, with deliverables including technical documentation, presentations, and a journal manuscript or conference paper based on the project results.

Minimum Qualifications

Bachelors degree in computer science, electrical engineering, physics, applied mathematics, or closely related field.

Strong programming experience in Python and familiarity with machine learning.

Preferred Qualifications

Ph.D. in computer science, electrical engineering, physics, applied mathematics, or closely related field.

Experience with quantum algorithms, quantum computing, quantum annealing, variational quantum circuits, quantum machine learning, or quantum-inspired optimization.

Experience with quantum software frameworks such as Qiskit, PennyLane, Cirq, D-Wave Ocean, TensorFlow Quantum, or similar tools.

Pay will be commensurate with education and experience. Sponsorship is not available for this position.

Additional Job Description:Special Instructions:For questions regarding this position, please contact the hiring manager, Dr. Jyotsna Sharma, at jsharma@lsu.edu.

Skills Needed:

Preferred Skills:

Posting Date:August 7, 2026Closing Date (Open Until Filled if No Date Specified):December 7, 2026Additional Position Information:

Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.

Benefits - LSU offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more!

Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University's partner, nextSource Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement.

Essential Position (Y/N):LSU is an Equal Opportunity Employer.

All candidates must have valid U.S. work authorization at the time of hire and maintain that valid work authorization throughout employment. Changes in laws, regulations, or government policies may impact the university's ability to employ individuals in certain positions.

HCM Contact Information:

For questions or concerns related to updating your application with attachments (e.g., resumes, RS:17 documents), date of birth, or reactivating applications, please contact the LSU Human Resources Management Office at 225-578-8200 or email HR@lsu.edu. For questions or concerns regarding the status of your application or salary ranges, please contact the department using the information provided in the Special Instructions section of this job posting.

Apply