ML Research Scientist

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).

expertise in machine learning (ML) and deep learning as applied to media (text, image, speech, etc.) for activity recognition, detection, and classification problems in complex environments with limited training data.

software and document configuration management; proposal development experience.

Bachelor's degree in Computer Science, Data Science, or related field with 5+ years of related experience