AI/ML Engineer - ELSYS - Colorado Springs, CO - (Open Rank)
Georgia Tech Research Institute · Colorado Springs, CO · 2 mo ago
EngineeringFull-time
About the role
The Electronic Systems Laboratory (ELSYS) at the Georgia Tech Research Institute (GTRI) is seeking an AI/ML Engineer to support the United States Space Force (USSF) Space Systems Command (SSC). This position directly supports the USSF portfolio, specifically the Operational Test and Training Infrastructure (OTTI) / System Delta 81.
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 proposals
Requirements
- Experience developing software in Python for data processing, backend services, or basic machine learning workflows
- Experience working with at least one relational database (e.g., PostgreSQL, MySQL) including schema design and querying
- Experience building and consuming web APIs (e.g., REST or GraphQL) in a production or research environment
- Experience integrating, deploying, testing, and tuning large language models
- Experience implementing data pipelines that perform ingestion, transformation, and preparation of data for analytics or ML (e.g., ETL/ELT workflows)
- Experience with at least one common ML or numerical computing framework (e.g., PyTorch, TensorFlow, Scikit-learn, NumPy) in a coursework, research, or professional context
- Experience using software version control (e.g., Git) in a collaborative environment
Qualifications
- 5 years of related experience with a Bachelor’s degree in Computer Science, Software Engineering, Robotics, Computer Engineering, Data Science, Electrical Engineering, Mathematics, Physics, or a related degree
- 3 years of related experience with a Masters’ degree in Computer Science, Software Engineering, Robotics, Computer Engineering, Data Science, Electrical Engineering, Mathematics, Physics, or a related degree
- 0 years of related experience with a Ph.D. in Computer Science, Software Engineering, Robotics, Computer Engineering, Data Science, Electrical Engineering, Mathematics, Physics, or a related degree