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Machine Learning Quantum Computing Jobs in Ohio (NOW HIRING)

Huntington

Data Scientist: III (Senior)

Columbus, OH · On-site

$110 - $160/hr

Master's Degree in computer science, statistics, economics or related fields* 3+ years of work and/or educational experience in machine learning or cloud computing, experience using statistics and ...

Statheros

Experience : * 4+ years of professional experience in machine learning, with a focus on ... Knowledge of parallel computing and GPU acceleration for large-scale RL tasks What We Offer

Procter & Gamble

Data AnalystRemote

Mason, OH · On-site

... machine learning and artificial intelligence techniques, experience with cloud computing platforms, and domain knowledge in specific industries. A Data Analyst should have the ability to work ...

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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 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:

Machine Learning Quantum Computing jobs near you
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.

Cryptography Research Engineer

Riverside Research

Dayton, OH • On-site

$140K - $195K/yr

Full-time

Re-posted 17 days ago

Job description

Riverside Overview

Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country’s most challenging technical problems. All Riverside Research opportunities require U.S. Citizenship.

Position Overview

Riverside Research is seeking a Cryptography Research Engineer to work alongside our US Air Force (USAF) and Department of Defense (DoD) partners to develop tamper protected microelectronic devices and intellectual property (IP). This position will possess a strong understanding of cryptographic algorithm development and implementation, including post-quantum cryptography, and advanced attacks against cryptographic implementations. You will work with hardware security experts employing a range of microelectronics test equipment, custom software, and computing resources to provide the best support to our customers. This position is located at WPAFB, Ohio.

Responsibilities

  • Provides assessments of state-of-the-art implementation attacks against cryptographic algorithms
  • Attends technology interchange meetings at DoD and contractor sites
  • Designs and performs research and experiments to assess attack effectiveness against microelectronic devices
  • Interacts with internal team and trusted third-parties to collect appropriate source information
  • Analyzes secure architectures to identify vulnerabilities
  • Documents findings in technical reports and presentations
  • Develops, maintains, adjusts, and reports on project schedules and timelines
  • Attends technical conferences to understand new attacks and protections
  • Collaborates with Government research leads to conducted research and present papers across a variety of DoD conferences and technical interchanges
  • Supports Principal Investigator and Program Manager in the development and documentation of technical requirements for approved research areas
  • Contributes to proposals for new research in similar and/or related technology areas

Qualifications

Required Qualifications:

  • Secret required clearance to start, but must be able obtain Top Secret security clearance and all required program access approvals.
  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science or Mathematics with 5 years direct experience in cryptography or a closely related discipline; or a master’s degree in related academic field and 3 years direct experience in cryptography or embedded hardware security, or a PhD within a related discipline.
  • Strong mathematical foundation in cryptography, excellent English reading skills, eagerness to learn, and desire to perform fundamental research.
  • Familiarity with the finalized NIST Post-Quantum Encryption Standards (CRYSTALS-Kyber, CRYSTALS-Dilithium, Sphincs+ and FALCON) and other public-key cryptographic algorithms (AES, RSA, ECC).
  • Good communication and teamwork skills.
  • Proficient in creating technical reports and presentations supporting research areas.
  • Willing to travel a few times per year.

Desired Qualifications:

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science or Mathematics with 8 years direct experience in cryptography or a closely related discipline; or a master’s degree in related academic field and 6 years direct experience in cryptography or embedded hardware security, or a PhD within a related discipline with 3 years practical experience.
  • Publication history in cryptography or mathematics.
  • Proficiency in Python, Rust, or C++.
  • Experience building cryptographic algorithms in hardware and RTL implementations.
  • Experience with Machine Learning and Data Analysis.
  • Proficiency in common ZK proofs (Groth, SNARKs, STARKs, etc.).
  • Familiarity with common ZK primitives (BLS, ECDSA, Oracle, Hash, Merkel Tree, etc.).
  • Knowledge of standard ZK protocols (Pedersen, Schnorr, KZG, Polynomial Commitment, etc.).
  • Experience with VOLE-based ZK proofs, symmetric key ciphers, or fully homomorphic encryption.
  • Understanding of multi-party computation and obfuscation circuits.
  • Knowledge of blockchain technology design principles and experience with a common blockchain open-source project.

Global Comp

$140,000-$195,000 This represents the typical compensation range for this position based on experience, location and other factors.

Closing Statement

Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees. Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran’s status or any other status legally protected by applicable federal, state, and local law.

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