ML Research Engineer

Candidate should be able to:
•plan and execute research and development projects, document and report project results
•regularly interact with technical and management teams and customers
•support internal R&D and govern business capture efforts.
•act as a technical contributor to a multi-disciplinary, multi-organizational team addressing a variety of deep learning for situational awareness problems.
Candidate should have:
Understanding of data manipulation, analysis, and visualization tools (e.g., Matplotlib, Pandas, Apache Spark).
Familiarity with deep learning techniques and their corresponding libraries (e.g., PyTorch, TensorFlow) as well as machine learning packages (e.g., sklearn, MLLib).
fluency in Python, MATLAB, R, or similar engineering software environments;
fluency in Java, Python, MATLAB, or C/C++;
Knowledge and experience in machine learning (ML) as applied to situational awareness generation, geospatial intelligen...