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Machine Learning Quantum Computing Jobs in Ohio (NOW HIRING)

$90 - $130/hr

About the Role You'll shape the frontiers of Artificial Intelligence, Machine Learning, and Simulation-based Design, Data-driven Processes, and Quantum Computing. You will collaborate closely with ...

New

$80 - $120/hr

Quantum computing is a new computing paradigm rapidly approaching commercial viability. Our unique ... Our next-generation computing machines under development will be able to find solutions to problems ...

$100 - $130/hr

Quantum computing is a new computing paradigm rapidly approaching commercial viability. Our unique ... Our next-generation computing machines under development will be able to find solutions to problems ...

New

$80 - $100/hr

Quantum computing is a new computing paradigm rapidly approaching commercial viability. Our unique ... Our next-generation computing machines under development will be able to find solutions to problems ...

New

$51.25 - $70.25/hr

Cloud Computing * Responsible AI Processing and Monitoring Minimum Qualifications: * Experience leading the development of MLOps machine learning platforms leveraging model registries, feature stores ...

New

$102.42 - $170.71/hr

Machine Learning: A good grasp of Machine Learning approaches and their impact on system behavior ... computing and real‑time AI‑powered data processing, Quantum Systems is building ...

New

$140 - $190/hr

The ideal candidate is an experienced machine learning or geospatial engineer with strong expertise in Python, scientific computing, and applied AI. They should be comfortable working independently ...

New

Artificial Intelligence Engineer

Cleveland, OH · On-site

$111K - $133K/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 ...

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Machine Learning Quantum Computing information

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 are the key skills and qualifications needed to thrive as a machine learning quantum computing specialist?

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 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 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 August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Expert AI & Engineering (m/f/d)

TWT GmbH

On-site

$90 - $130/hr

Other

Posted 3 days ago

New


Job description

At TWT Science & Innovation, we’re looking for an Expert whose curiosity knows no limits – someone who builds what others only imagine.

About the Role You’ll shape the frontiers of Artificial Intelligence, Machine Learning, and Simulation-based Design, Data-driven Processes, and Quantum Computing. You will collaborate closely with the R&D departments of our customers and contribute to both collaborative research initiatives and independent scientific work.

You’ll work with leading companies across engineering and aerospace, such as Mercedes-Benz, BMW, Porsche, Audi, Airbus, Siemens, and MTU AeroEngines, as well as with top universities like MIT, Harvard, Stanford, and ETH Zurich.

What You’ll Do
  • Design and implement advanced algorithms across AI, Data, Simulation, Processes, and Quantum Computing
  • Lead the technical vision of interdisciplinary R&D projects
  • Integrate emerging technologies and mentor young researchers
  • Represent TWT at international conferences and forums
What You Bring
  • PhD or Postdoc in Computer Science, Engineering, or Mathematics
  • Deep expertise in AI, Machine Learning, or Digital Engineering
  • Strong analytical and creative mindset
  • Fluent in English and German
Why TWT

Join an environment where knowledge becomes momentum. Work with global leaders and a team of explorers who believe that innovation is both science and art.

Location: Hybrid; Stuttgart, München, Ingolstadt

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