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Quantum Machine Learning Engineer Jobs in Oak Ridge, TN

Type One Energy

Real-Time Engineer

Knoxville, TN · On-site

  • Retirement

Machine-learning inference * Translating mathematical models into executable real-time code What you'll need: * B.S. or M.S. in Software Engineering, Computer Engineering, Computer Science, or ...

Denso

Process Engineer 3

Maryville, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Utilizes advanced machine learning and computer vision techniques to enhance production quality ... Collaborate with mechanical, electrical, and software engineering teams to integrate vision systems ...

Denso

Process Engineer 3

Maryville, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Utilizes advanced machine learning and computer vision techniques to enhance production quality ... Collaborate with mechanical, electrical, and software engineering teams to integrate vision systems ...

Varsity Tutors

Linear Algebra Tutor

Knoxville, TN · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Data Science Tutor

Knoxville, TN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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All JobsQuantum Machine Learning Engineer JobsQuantum Machine Learning Engineer Jobs in Oak Ridge, TN

Quantum Machine Learning Engineer information

See Oak Ridge, TN salary details

$30.1K

$123.1K

$185K

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

As of Aug 16, 2026, the average yearly pay for quantum machine learning engineer in Oak Ridge, TN is $123,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $148,200.00 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.

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.

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.

What cities near Oak Ridge, TN are hiring for Quantum Machine Learning Engineer jobs?

Cities near Oak Ridge, TN 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 Oak Ridge, TN as of August 2026, with employment types broken down into 100% Full Time. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $123,109 per year, or $59.2 per hour.

Post-Doctoral Research Associate: Department of Physics and Astronomy - UTK

University of Tennessee, Knoxville

Knoxville, TN • On-site

Full-time

Re-posted 8 days ago

University Of Tennessee, Knoxville rating

7.2

Company rating: 7.2 out of 10

Based on 59 frontline employees who took The Breakroom Quiz

385th of 618 rated colleges and universities

Job description

Job Summary:
The University of Tennessee, Knoxville is seeking a highly motivated Computational Researcher to join the Del Maestro group to work on challenging problems in quantum materials. The successful applicant will utilize advanced computational methods to model complex physical interactions and collaborate with team members to solve complex modeling challenges.
Responsibilities:
• Utilize advanced computational frameworks to model complex physical interactions and transport phenomena.
• Simulate materials and account for fundamental physical effects under a range of environmental conditions.
• Leverage modern computational techniques, including data-driven and machine learning models, to accurately represent atomic-level interactions and behaviors.
• Analyze large-scale simulation data to extract key dynamic properties, and material performance metrics.
• Work with, validate, and help maintain proprietary in-house software tools and computational infrastructure.
• Collaborate with team members to apply specialized expertise toward solving complex modeling challenges.
• Ensure compliance with environment, safety, health and quality program requirements.
• Maintain strong commitment to the implementation and perpetuation of values and ethics in scientific research.
Qualifications:
Required:
• Ph.D. in physics, chemistry, materials science, or a closely related field completed no later than 08/01/2026.
• An excellent track record of productive and creative research demonstrated by publications in peer reviewed journals.
• Strong verbal and writing skills.
• Demonstrated ability to work independently and collaboratively with team members, including experimental collaborators.
• Familiarity with atomistic (e.g. molecular dynamics, Monte Carlo) and/or ab initio (e.g. density functional theory) computational tools.
• High performance computing (e.g. slurm or other workload managers).
• Applicants must be legally authorized to work in the United States on a full-time basis without need now or in the future for sponsorship for employment-based visa status.
Preferred:
• Research experience in artificial intelligence for quantum systems/materials.
Company:
As the state’s land grant, research-intensive institution, the University of Tennessee, Knoxville, is a university that leads. Founded in 1794, the company is headquartered in Knoxville, TN, US, , with a team of 10001+ employees. The company is currently Late Stage.

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