AI/ML Student Software Engineer
University of Maryland
College Park, MD
ID: 7261401
Posted: July 9, 2024
Application Deadline: Open Until Filled
Job Description
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
Position Summary/Purpose of Position:
The University of Maryland’s Division of Information Technology (DIT) Software Services AI/ML Unit is seeking Student Software Engineers for AI/ML positions. Ideal candidates should have experience coding in Python and an interest in generative AI, large language models (LLMs), and Retrieval-Augmented Generation (RAG). Familiarity with other programming languages, such as NodeJS or Java, or frontend technologies like Vue.js or React.js is also desirable but not required.
Our team is at the forefront of developing innovative applications leveraging machine learning and artificial intelligence. Projects include building a custom administrative web application UI to administer chatbots, deploying chatbots across various domains, and exploring classifiers and other ML techniques for practical use cases. Students will have the opportunity to engage in exciting tasks such as model training, data ingestion, cleaning, and preparation. Depending on their interests and the team’s needs, they can focus on either the machine learning aspects or the software engineering aspects of these projects.
Location:
Manokin Building in the Discovery District
Minimum Qualifications:
Education
Pursuing a degree in Computer Science, Data Science or a related discipline.
Knowledge, Skills, and Abilities:
Completed at least two courses pertaining to programming.
Knowledge of computer algorithms and data structures.
Must be able to work for blocks of at least 3 hours at a time.
Hours:
8 am – 6 pm, three-hour blocks, Monday through Friday. Students can make their own schedule during these hours.
Start Date Requirement:
Students are expected to be available this summer to start the position; not accepting Fall start dates.
Preferences:
Preferences:
Available to work between 12 – 20 hours per week.
Familiar with coding in Python, Node.js, or other languages.
Knowledge of RAG or ML/AI techniques.
Additional Certifications:
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
Position Summary/Purpose of Position:
The University of Maryland’s Division of Information Technology (DIT) Software Services AI/ML Unit is seeking Student Software Engineers for AI/ML positions. Ideal candidates should have experience coding in Python and an interest in generative AI, large language models (LLMs), and Retrieval-Augmented Generation (RAG). Familiarity with other programming languages, such as NodeJS or Java, or frontend technologies like Vue.js or React.js is also desirable but not required.
Our team is at the forefront of developing innovative applications leveraging machine learning and artificial intelligence. Projects include building a custom administrative web application UI to administer chatbots, deploying chatbots across various domains, and exploring classifiers and other ML techniques for practical use cases. Students will have the opportunity to engage in exciting tasks such as model training, data ingestion, cleaning, and preparation. Depending on their interests and the team’s needs, they can focus on either the machine learning aspects or the software engineering aspects of these projects.
Location:
Manokin Building in the Discovery District
Minimum Qualifications:
Education
Pursuing a degree in Computer Science, Data Science or a related discipline.
Knowledge, Skills, and Abilities:
Completed at least two courses pertaining to programming.
Knowledge of computer algorithms and data structures.
Must be able to work for blocks of at least 3 hours at a time.
Hours:
8 am – 6 pm, three-hour blocks, Monday through Friday. Students can make their own schedule during these hours.
Start Date Requirement:
Students are expected to be available this summer to start the position; not accepting Fall start dates.
Preferences:
Preferences:
Available to work between 12 – 20 hours per week.
Familiar with coding in Python, Node.js, or other languages.
Knowledge of RAG or ML/AI techniques.
Additional Certifications: