Etegent is looking to solve real-world problems by designing innovative systems, including training machine learning models, developing tools to reveal hidden insights in massive data sets, and curating synthetic and measured data in support of algorithm development.
Requirements
- Exposure to Python and Git
- Exposure to data structures and program design
- Comfortable working with Linux operating systems
- Exposure to ML/AI frameworks (e.g., PyTorch, TensorFlow)
- Exposure to Python statistical/scientific computing packages (e.g., NumPy, Scikit-Learn)
- Exposure to Computer Vision concepts and terminology
- Visual interface experience (e.g., plotly, application servers, web design)
Responsibilities
- Developing innovative solutions to solve customer problems
- Working closely with researchers to help develop and implement cutting edge technology
- Developing performance models for autonomous systems
- High-performance computing – from low swap to supercomputers
- Curating synthetic and measured data in support of algorithm development
- Developing tools to reveal hidden insights in massive, diverse sets of data
- Training machine learning models to find objects in radar, lidar, panchromatic, hyperspectral and vibrometry data
Other
- Ability to travel to our Beavercreek office at least 3 times a week
- Co-op students get the opportunity to work closely with our researchers
- Providing co-ops with high quality learning experiences tailored to the individual’s goals
- Many of our full-time engineers began their careers with Etegent as co-ops
- Expected to have varying education levels
