Functional Title:
Machine Learning Engineer
Category Status:
14-Student Hourly, UG
Applicant Search Category:
Student
University Authorized FTE:
Unit:
VPR-Applied Research Lab for Intelligence & Security
Campus/College Information:
Founded in 1856, University of Maryland, College Park is the state’s flagship institution. Our 1,250-acre College Park campus is just minutes away from Washington, D.C., and the nexus of the nation’s legislative, executive, and judicial centers of power. This unique proximity to business and technology leaders, federal departments and agencies, and a myriad of research entities, embassies, think tanks, cultural centers, and non-profit organizations is simply unparalleled. Synergistic opportunities for our faculty and students abound and are virtually limitless in the nation’s capital and surrounding areas. The University is committed to attracting and retaining outstanding and diverse faculty and staff that will enhance our stature of preeminence in our three missions of teaching, scholarship, and full engagement in our community, the state of Maryland, and in the world.
Background Checks
Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify you from employment.
Vaccine Protocol
The University of Maryland has made the safety of our students, faculty and staff, and our surrounding communities a top priority. As part of that commitment, the University requires that students, faculty, and staff on the UMD campus be vaccinated against COVID-19. As a prospective and/or a new employee at UMD, you will be required to comply with the University’s vaccination protocol. Proof of full vaccination will be required before the start of employment in order to work at any University of Maryland location. Prospective or new employees may seek a medical or religious exemption to the vaccination requirement at return.umd.edu and must have an approved exemption prior to the start of their employment. Failure to provide proof of vaccination or to obtain approval for a medical or religious exemption will result in the offer of employment being rescinded.
Position Summary/Purpose of Position:
This position is with the Applied Research Laboratory for Intelligence & Security (ARLIS) – a University Affiliated Research Center (UARC) under the UMD Vice President of Research (VPR). ARLIS seeks to hire an hourly student machine learning engineer. Exceptional candidates in all areas related to the ARLIS’s current research trajectories will be given serious consideration, particularly those with experience in multiple areas. ARLIS is looking for people who thrive in an environment of significant project ownership and responsibility for outcomes.
We develop solutions to address challenging national security problems that enable planning and decision making in domains as diverse as information operations, cyber operations, machine learning, image processing, and applied data analytics. We seek talented students who can work with a team to construct, implement, test, document, and maintain software applications that provide highly impactful capabilities for the special operations and intelligence community.
Minimum Qualifications:
- Working towards a Bachelor’s Degree or higher in computer science, computer engineering, engineering, or information technology. Other focus areas will be considered if the candidate has requisite experience.
- Fluent in at least one of Python, Java, C++, C, R or similar
- Experience in working with ML frameworks, libraries, and packages (e.g., scikit-learn, TensorFlow, Pytorch, OpenCV, pandas, or spaCy)
- Experience working with some version control system (e.g., git, DVC)
- Experience in multi-tasking and coding projects through professional, internship, school, extracurricular, and volunteer activities
- Strong communications, presentation, and writing skills
- US citizenship required; must have the ability to obtain and maintain a US Government Security Clearance
Preferences:
- Experience working in the cloud (AWS at minimum) or ability to learn quickly
- Experience in an interdisciplinary research environment, especially running experiments
- Experience with agile workflow, automated testing, and continuous integration and delivery (CI/CD)
- Experience with command line scripting (e.g., BASH, Python, Powershell)
Additional Certifications:
Additional Information:
Please submit your resume and a brief cover letter to ais-mission@arlis.umd.edu.
Diversity Statement:
The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions.
