AI/ML Engineer - ATAS - Open Rank

Overview The Georgia Tech Research Institute (GTRI) is the nonprofit, applied research division of the Georgia Institute of Technology (Georgia Tech). Founded in 1934 as the Engineering Experiment Station, GTRI has grown to more than 2,900 employees, supporting eight laboratories in over 20 locations around the country and performing more than $940 million of problem-solving research annually for government and industry. GTRI's renowned researchers combine science, engineering, economics, policy, and technical expertise to solve complex problems for the U.S. federal government, state, and industry. Georgia Tech's Mission and Values Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do: Students are our top priority. We strive for excellence. We thrive on diversity. We celebrate collaboration. We champion innovation. We safeguard freedom of inquiry and expression. We nurture the wellbeing of our community. We act ethically. We are responsible stewards. Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact. Project/Unit Description This position will be supporting the Intelligent Sustainable Technologies Division (ISTD) within ATAS. Their responsibilities will include novel AI/ML model development for applied research projects, analysis and evaluation of experimental data, and support of projects both for the DoD/Dow and agricultural technologies. Job Purpose The Artificial Intelligence/Machine Learning (AI/ML) Engineer develops AI/ML algorithms, cloud computing, and/or heterogeneous distributed computing infrastructures to support the deployment of AI/ML applications. The AI/ML Engineer also researches the mathematical foundations and frameworks for nonlinear systems characterized by time‑varying and emerging dynamics of evolving or adaptive systems. The AI/ML Engineer develops technical solutions at the leading edge of Artificial Intelligence, Machine Learning, Genetic Programming, Computer Vision, and advanced data processing, filtering, and fusion techniques in high‑performance computing and distributed heterogeneous computing environments. The AI/ML Engineer writes parallel processing programs to deploy ML models developed by data scientists into more complex systems. The AI/ML Engineer has familiarity with state‑of‑the‑art, open‑source software frameworks and high‑performance computing accelerators for machine learning. When conducting research, the AI/ML Engineer leverages the most recent advances in statistical analysis of large data sets to advance state‑of‑the‑art automated sensor and data processing for a broad range of intelligent and sensor‑enabled systems. Key Responsibilities Develop software products using software tools such as R, Python, C++, C and/or Julia. Deploy machine learning models utilizing existing tooling. Conduct research in a multi‑disciplined team environment. Additional Responsibilities Curating datasets and training machine learning models on a variety of data modalities. Optimizing model training on GT and GTRI high performance computing clusters. Participate in grant and proposal writing and researchers will eventually be expected to lead projects and proposals. Required Minimum Qualifications Candidates should have experience with ML frameworks (e.g. pytorch, tensorflow, jax) and have prior practical experience (through projects or work experience) training and deploying machine learning models. Preferred Qualifications Active Secret Clearance. Expertise with machine perception systems (e.g. optics) and understanding of impacts on ML perception. Experience training models for data analysis on multimodal data. Experience fine‑tuning foundation models. Familiarity with high performance computing frameworks and distributed multi‑node model training. Ability to conduct independent research and thorough experimentation. Travel Requirements Education and Length of Experience This position vacancy is an open‑rank announcement. The final job offer will be dependent on candidate qualifications in alignment with Research Faculty Extension Professional ranks as outlined in section 3.2.1 of the Georgia Tech Faculty Handbook. 0‑5 years of related experience with a Bachelor's degree in Computer Science, Machine Learning, Electrical Engineering, Computer Engineering, or related field. 0‑3 years of related experience with a Masters' degree in Computer Science, Machine Learning, Electrical Engineering, Computer Engineering, or related field. 0 years of related experience with a Ph.D. in Computer Science, Machine Learning, Electrical Engineering, Computer Engineering, or related field. U.S. Citizenship Requirements Due to our research contracts with the U.S. federal government, candidates for this position must be U.S. Citizens. Clearance Type Required Candidates must be able to obtain and maintain an active security clearance. Benefits at GTRI Comprehensive information on currently offered GTRI benefits, including Health & Welfare, Retirement Plans, Tuition Reimbursement, Time Off, and Professional Development, can be found through this link: Equal Employment Opportunity The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities. Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia (USG) and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract. USG Core Values Statement The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at #J-18808-Ljbffr Georgia Tech Research Institute (GTRI)