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, GTRI has grown to more than 2,900 employees, supporting eight laboratories in over 20 locations around the country and performing over $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 emphasize excellence, diversity, collaboration, innovation, ethical behavior, community wellbeing, and responsible stewardship.

Project/Unit Description

This position will be supporting the Intelligent Sustainable Technologies Division (ISTD) within ATAS. Responsibilities include novel AI/ML model development for applied research projects, analysis and evaluation of experimental data, and support of projects for the DoD/DARPA 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. They also research the mathematical foundations and frameworks for nonlinear systems characterized by time-varying and emerging dynamics of evolving or adaptive 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

• Curate datasets and train machine learning models on a variety of data modalities.
• Optimize model training on GT and GTRI high performance computing clusters.
• Participate in grant and proposal writing, with eventual expectation to lead projects and proposals.

Required Minimum Qualifications

• Experience with ML frameworks (e.g., PyTorch, TensorFlow, JAX) and prior practical experience (through projects or work experience) training and deploying machine learning models.
• Active Secret Clearance.
• Expertise with machine perception systems (e.g., optics) and understanding of their 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.

Preferred Qualifications

• Experience with high performance computing frameworks and distributed multi-node model training.
• Familiarity with state-of-the-art, open-source software frameworks and high-performance computing accelerators for machine learning.
• Experience with advanced data processing, filtering, and fusion techniques in high-performance computing and distributed heterogeneous computing environments.
• Experience with parallel processing programs to deploy ML models developed by data scientists into more complex systems.
• Experience with 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.

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. Candidates should have:

• 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 Master’s 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. 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: https://benefits.hr.gatech.edu/.

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.

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.