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Machine Learning Quantum Computing Jobs in Ohio (NOW HIRING)

Lead Machine Learning Engineer-MLOps

Columbus, OH · On-site

$95.80K - $126.10K/yr

As Lead Machine Learning Engineer on the Recommendation Engine team, you'll build and maintain ... Solid fundamentals in cloud computing, preferably AWS * Deep knowledge and passion for data science ...

Machine Learning Operations Engineer

Strongsville, OH · On-site

$64.10K - $86.70K/yr

Machine Learning Operations Engineer Category: Software Development/ Engineering Main location ... Deep understanding of the Hadoop ecosystem, distributed computing, and performance tuning.

Artificial Intelligence Engineer

Cleveland, OH

$111.10K - $133.40K/yr

Our patented, quantum-resistant Data Camouflage™ technology allows enterprises to secure their ... The ideal candidate will have a strong background in AI, machine learning and data science, with ...

Machine Learning Operations Engineer

Dallas, TX

$113.70K - $136.60K/yr

... machine learning models in production environments. Desired candidate will work closely with ... Deep understanding of the Hadoop ecosystem, distributed computing, and performance tuning.

$102.10K - $122.70K/yr

... computing frameworks Support real-time and batch data processing Data Science & Machine Learning Enablement Collaborate with data scientists to support model development and deployment Build and ...

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

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Machine Learning Quantum Computing information

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 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 popular job titles related to Machine Learning Quantum Computing jobs in Ohio? For Machine Learning Quantum Computing jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Machine Learning Quantum Computing jobs in Ohio look for? The top searched job categories for Machine Learning Quantum Computing jobs in Ohio are:
What cities in Ohio are hiring for Machine Learning Quantum Computing jobs? Cities in Ohio with the most Machine Learning Quantum Computing job openings:
Infographic showing various Machine Learning Quantum Computing job openings in Ohio as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Quantum Research Data Scientist III

Quantum Research Data Scientist III

Cleveland Clinic

Cleveland, OH • Hybrid

$128.41K/yr

Other

Medical, Dental, Vision, Retirement

Posted 19 days ago


Cleveland Clinic rating

7.2

Company rating: 7.2 out of 10

Based on 873 frontline employees who took The Breakroom Quiz

326th of 864 rated healthcare providers


Job description

Join Cleveland Clinic's Main Campus where research and surgery are advanced, technology is leading-edge, patient care is world class and caregivers are family. Here, you will work alongside a passionate and dedicated team, receive endless support and appreciation, and build a rewarding career with one of the most respected healthcare organizations in the world.

As a Quantum Research Data Scientist, you will leverage advanced statistical, mathematical, and machine learning techniques to develop innovative algorithms and deliver high-impact analytics that drive biomedical research insights. In this role, you will design, simulate, and implement quantum and hybrid algorithms to solve complex computational challenges, while collaborating with multidisciplinary teams to advance research initiatives. You will serve as a team lead, providing mentorship, training, and technical guidance to support the growth and effectiveness of team members.

A caregiver in this role works days from 8:00 a.m. - 5:00 p.m.

A caregiver who excels in this role will:

  • Utilize methods in the areas of quantum information science, quantum algorithms, and hybrid quantum-classical workflows to design and implement advanced computational solutions.

  • Build complex Hamiltonian models, quantum circuit-level designs, and other advanced mathematical or physical models as needed by using specialized quantum programming tools such as Qiskit.

  • Develop methods, novel algorithms and/or high-level data analysis that integrates implementation, visualization and database management of multi-dimensional clinical or biological datasets.

  • Serve as a team lead to the Principal Investigator, providing training, mentoring and instruction to other lab members in tools and data analysis.

  • Communicate and present research findings to Principal Investigator, greater research community and forums.

  • Other duties as assigned.

Minimum qualifications for the ideal future caregiver include:

  • M.S. or PhD in computer science/statistics/software engineering/bioinformatics or related field and three years of related experience, working with statistical modeling, machine learning or complex data analysis

  • OR Bachelor's degree and six years of related experience

  • OR Master's degree in related field and one year of related experience, working with statistical modeling, machine learning or complex data analysis

  • OR PhD in related field

  • Highly proficient with programing skills in languages such as SAS, SQL, SPSS, R, Python, MATLAB or similar

  • Excellent communication and presentation skills

Preferred qualifications for the ideal future caregiver include:

  • PhD in Quantum computing, quantum information science, or physics

  • Demonstrated expertise in Quantum Information Science (QIS) and in the quantum circuit-level design and implementation of algorithms

  • Experience with error mitigation techniques, noise modeling, and circuit optimization for near-term quantum devices

  • Hands-on experience with IBM Quantum hardware and software platforms

  • Strong programming skills and experience with the latest version of Qiskit

  • Experience with biomedical datasets

Physical Requirements:

  • Ability to perform work in a stationary position for extended periods

  • Ability to operate a computer and other office equipment

  • Ability to communicate and exchange accurate information

  • In some locations, ability to move up to 15 pounds

Personal Protective Equipment:

  • Follows standard precautions using personal protective equipment.

Pay Range

Minimum Annual Salary: $84,200.00

Maximum Annual Salary: $128,412.50

The pay range displayed on this job posting reflects the anticipated range for new hires. A successful candidate's actual compensation will be determined after taking factors into consideration such as the candidate's work history, experience, skill set and education. The pay range displayed does not include any applicable pay practices (e.g., shift differentials, overtime, etc.). The pay range does not include the value of Cleveland Clinic's benefits package (e.g., healthcare, dental and vision benefits, retirement savings account contributions, etc.).


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