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Machine Learning Quantum Computing Jobs in Maryland

Umd

AI Research Assistant

College Park, MD

$19 - $26.25/hr

ARLIS combines deep scientific expertise with operational insight to address challenges in intelligence analysis, cybersecurity, artificial intelligence / machine learning, quantum science, and human ...

University of Maryland

AI Research Assistant

College Park, MD · On-site

$19 - $26.25/hr

ARLIS combines deep scientific expertise with operational insight to address challenges in intelligence analysis, cybersecurity, artificial intelligence / machine learning, quantum science, and human ...

Cymertek

HPC Software Engineer

Annapolis Junction, MD · On-site

... Computing Specialist, Machine Learning Engineer for HPC, Computational Research Engineer, etc ... Knowledge of emerging HPC technologies (e.g., quantum computing) * Experience with high-speed ...

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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 Maryland?

For Machine Learning Quantum Computing jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Machine Learning Quantum Computing jobs in Maryland look for?

The top searched job categories for Machine Learning Quantum Computing jobs in Maryland are:

What cities in Maryland are hiring for Machine Learning Quantum Computing jobs?

Cities in Maryland 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 Maryland as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

AI Research Assistant

College Park, MD

Umd
See more jobs at Umdexternal

$19 - $26.25/hr

Full-time

Posted 12 days ago

Job description

Job Description SummaryOrganization's Summary Statement:
The Applied Research Laboratory for Intelligence & Security (ARLIS) at the University of Maryland is a University-Affiliated Research Center (UARC) dedicated to advancing research, innovation, and technology transition to improve decision making for U.S. national security. ARLIS combines deep scientific expertise with operational insight to address challenges in intelligence analysis, cybersecurity, artificial intelligence / machine learning, quantum science, and human-machine teaming. Researchers, scientists, engineers, and analysts at ARLIS collaborate with government agencies, industry partners, and academic institutions to deliver actionable insights and transformative solutions through research and development. Employees at ARLIS work on projects of critical importance, contribute directly to the nation's security, and are supported by a culture that values integrity, collaboration, and professional growth.
The AI Research Assistant will assist the AI/Machine Learning lead for DE Bioeffects project in their efforts to develop and refine the AI/ML backed sensemaking technology for the repository. They will attend project meetings at the request of the PI, co-PIs, and AI/ML lead, and may be asked to take technical notes during meetings. They will maintain a collaborative work style and help the AI/ML lead solve problems with the large interdisciplinary research team.
Physical Demands:
Sedentary work performed in a normal office environment; exerts up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Ability to attend meetings both on and off campus. Spending long hours in front of a computer screen.
Licenses/ Certifications: N/AMinimum Qualifications

Education:

  • Currently enrolled in a Bachelor's, Master's, or Doctoral degree program at an accredited college or university in Computer Science, Data Science, Computational Linguistics/Natural Language Processing, Information Science, Electrical and Computer Engineering, or a closely related field.

Experience:

  • Demonstrated hands-on experience - through coursework, research, internship, or a personal project - building and evaluating retrieval and language-model systems, including at least one retrieval system built end to end and at least one model the candidate trained or fine-tuned themselves.

Must be able to obtain a US security clearance. If selected, must meet the requirements for access to classified information and will be subject to a government security clearance investigation that includes criminal and credit history checks, as well as verification of U.S. citizenship, birth, education, employment, and military history. Final offer is contingent upon the candidate's ability to successfully obtain the necessary interim Secret security clearance, as determined by ARLIS, prior to commencing employment.

Knowledge, Skills, and Abilities:

  • Proficiency in Python, including the ability to write modular, re-runnable, and documented code.
  • Working familiarity with the Linux command line and with version control using Git.
  • Familiarity with at least one modern machine-learning or natural-language-processing toolkit - for example, PyTorch, Hugging Face Transformers, or sentence-transformers.
  • Ability to learn unfamiliar tools independently from documentation and example code, and to raise blockers promptly rather than working around them silently.
  • Ability to communicate clearly in writing, to work collaboratively as part of an interdisciplinary research team, and to use standard office productivity software.
Additional Job Details

Preferences:

Education:

  • Graduate-level study in Computer Science, Natural Language Processing, Machine Learning, Information Science, or a related field.

Experience:

  • Domain adaptation of retrieval models - fine-tuning an embedder or reranker on in-domain data; continued pretraining on a domain corpus.
  • Information extraction: NER, entity linking, relation extraction - including fine-tuning extraction models on a labeled gold set.
  • Knowledge graphs: building a citation/affiliation/funding graph and querying it; traversal, community detection; Neo4j or NetworkX.
  • GraphRAG, or a considered view on RAG vs. GraphRAG.
  • NLI / entailment or groundedness scoring.
  • Constrained or schema-guided decoding.
  • Multi-GPU or distributed training; experiment tracking.
  • Layout-aware PDF parsing and OCR.
  • REST API development (FastAPI / Flask); DevOps, CI/CD.
  • Comfort working independently and collaboratively in a fast-paced, evolving environment.
  • Strong organizational skills and attention to detail.
  • Active or eligible for a security clearance.

Required Application Materials: Cover Letter, Resume, List of References

Best Consideration Date: N/A

Posting Close Date: N/A

Open Until Filled: Yes

DepartmentVPR-Applied Research Lab for Intelligence & SecurityWorker Sub-Type Staff Contractual (C1) (Fixed Term)Salary Range$23 - $50Background Checks

Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regardingdisclosablebackground checkinformation. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.

Employment Eligibility

The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.

EEO Statement

The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University's Equal Employment Opportunity Statement of Policy.

Title IX Non-Discrimination NoticeResources

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