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Quantum Machine Learning Engineer Jobs in Oak Ridge, TN

Maximus

AI/ML Software Developer

Knoxville, TN · Remote

Prepares and structures data for machine learning pipelines, feature engineering, and model lifecycle management * Implements model monitoring, performance validation, traceability, and ...

Maximus

AI/ML Software Developer

Knoxville, TN · On-site

Prepares and structures data for machine learning pipelines, feature engineering, and model lifecycle management * Implements model monitoring, performance validation, traceability, and ...

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:

SynergisticIT

Java React Full Stack Developer

Knoxville, TN · On-site

$50 - $64.75/hr

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

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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 Jul 4, 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. Many positions also include benefits such as research opportunities and access to advanced quantum computing tools.

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. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

Is quantum machine learning a good career?

Quantum machine learning engineers work at the intersection of quantum computing and machine learning, developing algorithms that leverage quantum hardware. The field is emerging, with high demand for specialized skills in quantum algorithms, programming languages like Qiskit, and understanding of both quantum physics and data science. Careers in this area can be rewarding but often require advanced education and continuous learning due to rapid technological advancements.

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.

Will MLE be replaced by AI?

Quantum Machine Learning Engineers work at the intersection of quantum computing and machine learning, developing algorithms that leverage quantum systems. While AI continues to advance, quantum computing is expected to complement classical machine learning rather than replace it entirely, and MLE roles will evolve to incorporate new quantum techniques and tools. Continuous learning in both quantum algorithms and machine learning is essential for professionals in this field.

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
Postdoctoral Research Associate - AI-Accelerated Discovery of Permanent Magnets

Postdoctoral Research Associate - AI-Accelerated Discovery of Permanent Magnets

Oak Ridge National Laboratory

Oak Ridge, TN • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Oak Ridge National Laboratory rating

9.3

Company rating: 9.3 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

3rd of 103 rated laboratories

Job description

Job Summary:
Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. They are seeking an outstanding Postdoctoral Research Associate with a strong background in condensed-matter physics and materials science to develop AI models for accelerated materials discovery, particularly focusing on permanent magnets.
Responsibilities:
• Work closely with members of NTI and CNMS to develop new AI models for discovering novel permanent magnets with targeted properties using advanced concepts such as classifier free guided diffusion models, transformers with multi-headed attention, physics-informed neural networks, materials foundational models with multi-task learning, symbolic regression, reinforcement learning, monte-carlo tree-search, causal ML etc.
• Design, develop, and validate interpretable cross-modal AI/ML models incorporating features from electronic structure theory for predictive structure-chemistry-property discovery in magnetic solids and validate them against multi-modal experimental measurements
• Perform high-throughput first-principles electronic structure calculations (e.g. DFT and post-DFT methods) for generating datasets to train AI models leveraging DOE’s HPC platforms
• Develop new methodologies that can describe both atomic and spin relaxation accurately but at a much cheaper computational cost than DFT
• Present and report research results and publish in peer-reviewed journals in a timely manner
• Ensure compliance with environment, safety, health, and quality program requirements
• Maintain a strong commitment to the implementation and perpetuation of values and ethics
• Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success
Qualifications:
Required:
• A PhD in Condensed Matter Physics, Materials Science, Chemistry, Physics, or a closely related science discipline completed within the last five years
Preferred:
• A demonstrated record of developing advanced physics-informed AI models for scientific discovery
• Hands-on expertise developing and applying machine learning for materials and/or process discovery, particularly quantum materials
• Some form of expertise in methods such as machine-learning force-fields for spinful materials, or multi-fidelity Bayesian models that can learn machine-learning force-fields along with effective spin Hamiltonians from ab initio / experimental dataset or machine-learning tight-binding DFT methods
• Expertise in using or developing generative tools for automation of scientific discovery
• Expertise in using high-performance computing (HPC) platforms for delivering breakthrough scientific results
• A record of productive and creative research proven by publications in peer-reviewed journals and/or conference presentations
• Excellent written and oral communication skills
• Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory
• Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs
Company:
Oak Ridge National Laboratory holds a range of R&D assignments, from fundamental nuclear physics to applied R&D on advanced energy systems. Founded in 1943, the company is headquartered in Oak Ridge, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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