Machine Learning Engineer
The Video & Image Understanding Group develops and applies cutting-edge computer vision and deep learning techniques to solve problems in object detection, recognition, localization & tracking; biometrics; 3D scene reconstruction; threat detection; vision-aided navigation; and situational awareness. Our projects integrate algorithmic research, software engineering, and application system development to produce innovative capabilities that address challenging national security problems. We actively collaborate with research engineers across STR, as well as with academic researchers and industry partners to develop practical and powerful computer vision solutions.
The Role:
Who You Are:
Some Other Relevant Skills You May Have:
The Role:
- Develop, implement and evaluate machine learning algorithms to detect, segment, classify and track objects in diverse imaging modalities.
- Apply machine learning techniques to integrate information from multiple looks and multiple modalities to improve scene understanding capabilities.
- Develop and apply transfer learning and domain adaptation techniques to solve scene understanding problems where limited measured training data is available.
- Perform data analysis on experimental data and identify performance improvement strategies.
- Transition machine learning algorithms to prototype and/or real-time systems demonstrations.
Who You Are:
- BS, MS or PhD degree in Computer Science, Electrical Engineering, Applied Mathematics or related technical discipline
- Strong scientific software development skills
- Independent analytical problem-solving skills
- Experience in machine learning techniques, particularly deep learning
- Motivated collaborator and excellent communicator to both technical and non-technical audiences
Some Other Relevant Skills You May Have:
- Experience with Python and C/C++
- Experience in developing and applying machine learning techniques to solving computer vision problems
