AI​/ML Engineer - ATAS

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.

• 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.
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• 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.

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.

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.

• 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.

• 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.

• Candidates should have experience with ML frameworks (e.g. pytorch, tensor flow, jax) and have 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 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.