Georgetown University comprises two unique campuses in the nation’s capital. With the Hilltop Campus located in the heart of the historic Georgetown neighborhood, and the Capitol Campus, just minutes from the U.S. Capitol and U.S. Supreme Court, Georgetown University offers rigorous academic programs, a global perspective, and unparalleled opportunities to engage with Washington, D.C. Our community is a close-knit group of remarkable individuals driven by intellectual inquiry, a commitment to social justice, and a shared dedication to making a difference in the world.
Requirements
Job Overview
The McCourt School of Public Policy at Georgetown University is a diverse community of problem-solvers, committed to moving bold ideas to action. We are global citizens, conducting policy-relevant research, and building bridges between our work and the communities we serve. The Massive Data Institute (MDI) at Georgetown’s McCourt School of Public Policy harnesses modern data and computing power to produce cutting edge social science, computer science, and data science research that improves public policy decision making.
The MDI Machine Learning Developer will engage in research, development, and implementation of machine learning models for health analytics projects, focusing on early detection of Alzheimer’s using health and financial data, and building deep learning models to detect fake images, audio, and text. The MDI Machine Learning Developer will collaborate with researchers in McCourt, MDI, and the School of Health to develop and test different machine learning and dimensionality reduction approaches. The MDI Machine Learning Developer will focus on building and implementing classic and neural models for different application domains.
Work Interactions
The MDI Machine Learning Developer will interact with researchers of various departments, schools, and other technical staff. This position reports directly to MDI Director Lisa Singh, and the MDI Technical Manager oversees the day-to-day activity of the technical team, including this position.
Requirements and Qualifications
Undergraduate degree (BSc) in Computer Science.
A minimum of 3 – 5 years of working experience in machine learning research and/or development.
Strong technical skills. Including experience with TensorFlow and/or PyTorch, API integration, and software development frameworks, and pipelines.
Experience with deep learning models and fine-tuning of generative models.
The ability to develop new deep learning models, not just use existing ones.
The ability to understand health research.
Advanced programming and analytical skills
Understanding of statistics, statistical programming packages, and statistical modeling.
Ability to design and code software independently.
Skilled in the visual presentation of results.
Ability to work collaboratively in a cross-functional team.
Preferred Qualifications
Google (GCP), Amazon (AWS) or Azure Cloud experience
Programming proficiency in Java and Python
Proficient in deep learning models and frameworks, including PyTorch and TensorFlow.
Application programming skills
Web development skills, including JavaScript, HTML, CSS
Database administration knowledge, PostgreSQL a plus
Prior experience with healthcare applications of machine learning
Prior experience with deepfake detection or computer vision and media analysis models
Work Mode Designation
This position has been designated as Hybrid (3 days on campus/2 days telework). Please note that work mode designations are regularly reviewed in order to meet the evolving needs of the University. Such review may necessitate a change to a position’s mode of work designation. Complete details about Georgetown University’s mode of work designations for staff and AAP positions can be found on the Department of Human Resources website: https://hr.georgetown.edu/mode-of-work-designation.
Pay Range:
The projected salary or hourly pay range for this position which represents the full range of anticipated compensation is:
$66,783.00 - $126,720.23
Compensation is determined by a number of factors including, but not limited to, the candidate’s individual qualifications, experience, education, skills, and certifications, as well as the University’s business needs and external factors.
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Submission Guidelines:
Please note that in order to be considered an applicant for any position at Georgetown University you must submit a resume for each position of interest for which you believe you are qualified. Documents are not kept on file for future positions.
Need Assistance:
If you are a qualified individual with a disability and need a reasonable accommodation for any part of the application and hiring process, please click here for more information, or contact the Office of Institutional Diversity, Equity, and Affirmative Action (IDEAA) at 202-687-4798 or [email protected].
Need some assistance with the application process? Please call 202-687-2500. For more information about the suite of benefits, professional development and community involvement opportunities that make up Georgetown's commitment to its employees, please visit the Georgetown Works website.
EEO Statement:
GU is an Equal Opportunity Employer. All qualified applicants are encouraged to apply, and will receive consideration for employment without regard to age, citizenship, color, disability, family responsibilities, gender identity and expression, genetic information, marital status, matriculation, national origin, race, religion, personal appearance, political affiliation, sex, sexual orientation, veteran status, or any other characteristic protected by law.
Benefits:
Georgetown University offers a comprehensive and competitive benefit package that includes medical, dental, vision, disability and life insurance, retirement savings, tuition assistance, work-life balance benefits, employee discounts and an array of voluntary insurance options. You can learn more about benefits and eligibility on the Department of Human Resources website.
AI & Machine Learning (2)