Role overview
If you enjoy designing innovative systems and solving real-world problems, you'll have fun working with us! Co-ops at Etegent get the opportunity to work on projects that make a difference in a wide range of exciting fields. Etegent conducts cutting edge research in areas such as:
- Training machine learning models to find objects in radar, lidar, panchromatic, hyperspectral and vibrometry data.
- Developing tools to reveal hidden insights in massive, diverse sets of data.
- Curating synthetic and measured data in support of algorithm development.
- Developing performance models for autonomous systems.
- High-performance computing – from low swap to supercomputers.
Etegent has a long history of working with co-students to help them achieve their professional goals. In fact, many of our full-time engineers began their careers with Etegent as co-ops. We know first-hand the importance of providing co-ops with high quality learning experiences tailored to the individual’s goals.
What we're looking for
(Our expectations will vary based on the education level of the applicant.)
- 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).
- Statistical pattern recognition.