AI​/ML Engineer - Smyrna, GA - ATAS

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 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:

1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the wellbeing of our community.
8. We act ethically.
9. 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.

A full-time research faculty position exists in the Machine Learning and Data Analytics Branch of the Robotics and Autonomous Systems Division (RASD) within the Aerospace, Transportation, and Advanced Systems Laboratory (ATAS). The Machine Learning and Data Analytics branch is seeking candidates with software development experience that are interested and capable of supporting, developing, and/or deploying machine learning approaches to various applications including mission planning, and/or decision‑making.

Responsibilities may include
1) the development of infrastructure to support the evaluation of machine learning algorithms,
2) the implementation of novel machine learning algorithms,
3) the support of real‑world application domains (e.g., autonomy). Since the projects span from research and development to application in simulation or physical hardware, there are opportunities to move from the development of new algorithms to deployment for real‑time multi‑domain robotics applications.

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…