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AI/ML Engineer - GTRI-ICL - San Diego California
Company: Georgia Tech Research Institute
Location: San Diego, California
Posted On: 05/04/2025
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.Project/Unit DescriptionThe Advanced Research in Computing and Artificial Intelligence Division (ARCAID) within the Information and Communication Lab (ICL) is seeking an experienced AI/ML Research Engineer to join our team of passionate researchers. We seek an experienced engineer who can develop AI and ML solutions in support of AI research efforts leveraging the latest tools and techniques to realize solutions for the nation's most challenging problems. The ideal candidate will have broad experience and expertise in applied AI/ML. A strong candidate will have a passion for researching novel solutions for a wide range of research domains to include DoD, DOE, and Healthcare industry.This position will focus on the design, development, and deployment of AI/ML models. The candidate will work closely with staff members in a collaborative working environment. This is an excellent opportunity for a motivated, results-oriented professional. We are seeking people who get excited about working with data developing novel AI/ML solutions.Job PurposeThe 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.Key Responsibilities - Design complex system architectures (e.g., high-performance computing clusters, networks, chipsets, GPUs) based on available hardware (e.g., embedded systems, cloud, on-premise, etc.)
- Lead a team of engineers responsible for system deployment
- Develop novel algorithms and methodologies - Engage with sponsors to understand and meet system requirements
- Serve as the primary author on technical reports and proposalsRequired Minimum Qualifications
- Understanding of Machine Learning fundamentals such as Decision Trees, Random Forest, Support Vector Machines, Logistic Regression, Neural Network Architecture, K-Means, and dimensionality reduction techniques
- Experience with basic cloud development tools, environments, and architectures
- Experience building data sets using Structured Query Language
- Experience working with Data Science IDEs such as JupyterLab, JupyterHub, and Anaconda environments
- Experience with Data Science fundamental languages such as Python and R
- Working experience with Linux-based systems RHEL, Rocky Linux, Ubuntu, and other Debian operating systems
- Ability to work well with a variety of teams with diverse skill setsPreferred Qualifications
- Master's degree in Analytics, Machine Learning, or Computer Science
- Experience developing and deploying AI pipeline designs in operation
- Experience modeling data in JSON and Entity Relational Diagraming (ERD) design
- Advanced experience with Pandas and/or Polars libraries
- Advanced development Data Science language skills such as Python, R, and SQL
- Experience with Keras and TensorFlow
- Experience working with government systems
- Currently possess or can obtain a DoD Top Secret Security clearance
- Understanding Navy, organization, culture, and Program Executive Office priorities for AI/MLTravel Requirements10% - 25% travelEducation and Length of Experience
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