AI Research Assistant

UM01 University of Maryland College Park (UMCP); United States; On-site; USD 32,000 - 69,000; Full time

Job summary

The Applied Research Laboratory for Intelligence & Security (ARLIS) at the University of Maryland is seeking an AI Research Assistant to support the DE Bioeffects project. You 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.

You will maintain a collaborative work style and help the AI/ML lead solve problems with the large interdisciplinary research team.

Qualifications

• Currently enrolled in a Bachelor’s, Master’s, or Doctoral degree program in CS, data science, NLP, information science or related field.
• Hands-on experience building retrieval and language-model systems, including end-to-end retrieval and model fine-tuning.
• Must be able to obtain a US security clearance; clearance investigation required.

Responsibilities

• Attend project meetings as requested by PI, co-PIs, and AI/ML lead and assist with technical notes.
• Collaborate with a large interdisciplinary team to advance AI/ML backed sensemaking for the repository.
• Develop and refine AI/ML solutions using Python, ML toolkits, and standard workflows.

Skills

Python

Linux

Git

PyTorch

Hugging Face Transformers

sentence-transformers

Education

CS/Data Science program

Tools

FastAPI

Flask

Neo4j

NetworkX

Job description

Job Description Summary

Organization'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/A

Minimum 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.

Department

Department VPR-Applied Research Lab for Intelligence & Security Worker Sub-Type Staff Contractual (C1) (Fixed Term) Salary Range $23 - $50

Background 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 regarding disclosable background check information. 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 Notice

Resources Learn how military skills translate to civilian opportunities with O*Net Online Search

Contact

The University of Maryland, College Park is the state's flagship university and one of the nation's preeminent public research universities. A global leader in research, entrepreneurship and innovation, the university is home to more than 40,700 students, 14,000 faculty and staff, and 388,000 alumni all dedicated to the pursuit of Fearless Ideas. Located just outside Washington, D.C., we discover and share new knowledge every day through our renowned research enterprise and programs in academics, the arts and athletics. And we are committed to social entrepreneurship as the nation’s first “Do Good” campus. The University works hard to make its websites accessible to any and all users. If you need assistance completing the application process, please contact us at one of the below options: Email: [e-mail] Phone: [phone] Maryland Relay: Dial 711 This contact information cannot be used to inquire about application status.