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Quantum Machine Learning Engineer Jobs in Oak Ridge, TN

Varsity Tutors

Linear Algebra Tutor

Knoxville, TN · Remote

$40/hr

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

DataAnnotation

DevOps Engineer

Knoxville, TN · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

Software Engineer

Knoxville, TN · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

Frontend Engineer

Knoxville, TN · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

Backend Software Engineer

Knoxville, TN · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

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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 Jun 13, 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 the salary of quantum machine learning engineer?

The salary of a quantum machine learning engineer typically ranges from $100,000 to $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in quantum algorithms and programming languages like Python or Qiskit may offer higher compensation. Entry-level positions generally start around $80,000 to $100,000.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or engineering management can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries like technology or finance. These roles often require advanced degrees, certifications, and leadership responsibilities.

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 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.

Which 3 jobs will survive AI?

Quantum Machine Learning Engineers are likely to have resilient careers as their role combines advanced quantum computing and machine learning skills, which are less susceptible to automation. Jobs requiring complex problem-solving, creativity, and specialized expertise—such as data scientists, AI researchers, and cybersecurity analysts—are also expected to persist. These roles often involve tasks that are difficult for AI to fully automate and require ongoing human oversight and innovation.

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, and why are they important?

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 June 2026, with employment types broken down into 47% Full Time, 47% Part Time, 2% Temporary, 2% Contract, and 2% Nights. Highlights an 87% Physical, 6% Hybrid, and 7% 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

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

The University of Tennessee

Knoxville, TN

$2K/wk

Full-time

Posted 11 days ago

Job description

We are seeking a highly motivated Computational Researcher to join the Del Maestro group at the University of Tennessee, Knoxville to work on challenging problems in quantum materials at the interface of condensed matter, quantum chemistry, and materials science and engineering. The candidate will utilize advanced computational methods on high-performance computing infrastructure including classical and quantum Monte Carlo, molecular dynamics, and ab initio methods. 

The University of Tennessee, Knoxville, has shaped leaders, changemakers, and innovative thinkers since its founding in 1794. The university is home to more than 38,000 students and 10,000 statewide employees-the Volunteers-who uphold the university's tradition of lighting the way for others through leadership and service. 

UT Knoxville offers over 900 programs of study across 14 degree-granting colleges and schools. As Tennessee's flagship land-grant university, its footprint spans the entire state. The university holds the highest Carnegie classification for research activity and has deep partnerships with industry leaders and the US Department of Energy's largest multidisciplinary laboratory, Oak Ridge National Laboratory. 

The Knoxville campus serves and recruits for UT Knoxville, including the Institute of Agriculture and the Space Institute, as well as the UT Institute of Public Service.  

UT Knoxville considers its employees its number one asset. With values that focus on work-life balance, compensation, and innovation leadership, all Vols are supported to advance professionally. Employees have access to career development and coaching, continued education, and an extensive list of development and training possibilities. The Volunteer employee experience implements structures and practices to attract and retain top-tier talent, fostering a strong staff community and supporting a culture of involvement and engagement for everyone. 

The university holds a strong commitment to its land-grant mission of learning and engagement, with a tradition of service and leadership that carries that Volunteer spirit throughout the state and around the world. It has been ranked nationally as "Best Employer for New Graduates," "One of America's Best Large Employers," and "Best Workplace for Women," and has been designated as "Best Place for Working Parents" by Forbes Magazine.  

Apply today and join the Tennessee Volunteer community! 

Required Qualifications

  • Education: Ph.D. in physics, chemistry, materials science, or a closely related field completed no later than 08/01/2026.
  • Experience: 
    • 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.

  • Knowledge, Skills, Abilities: 
    • High performance computing (e.g. slurm or other workload managers).
    • Must be a U.S Citizen and be able to obtain and maintain a U.S security clearance.

Preferred Qualifications

  • Experience: Research experience in artificial intelligence for quantum systems/materials.

Work Location 

  • University of Tennessee, Knoxville
  • Onsite

Compensation and Benefits

  • Anticipated hiring range: $65,000
  • Maximum moving allowance: $2,500
  • Find more information on UT Benefits here

Application Instructions

For best consideration applicants should submit the below materials before August 1, 2026:

  • Cover Letter
  • Full CV including list of publications
  • 2-3 letters of recommendation with a preference for 1 from current supervisor sent directly to Prof. Del Maestro at qm_postdoc@tennessee.edu.

Review of applications will begin immediately and continue until the position is filled. 
 

About The Department

The Department has an exemplary research record, with eight professors earning NSF CAREER awards since 2012, eight professors among the world's top two percent of physicists based on citation count, the award of the prestigious American Physical Society 2021 Bonner Prize, eleven APS Fellows, and four AAAS Fellows. The University of Tennessee, Knoxville is Tennessee's flagship state research institution, a campus of choice for outstanding undergraduates and a premier graduate institution with a number of nationally and internationally ranked programs and with national and international leadership in numerous fields.

The successful applicant will work with Prof. Del Maestro and his team to:

  • 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.

Apply