Signal Processing

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• Capabilities
• How to apply machine learning and deep learning methods to audio analysis | Gideon Mendels - Towards Data Science
• The Complete Guide to Machine Learning for Sensors and Signal Data | Reality AI
• Advanced Machine Learning and Signal Processing | IBM - Coursera

Signal Processing Scientist (example)

What You Will Be Doing:

• Conceive, design, prototype and implement advanced algorithms aimed at generating solutions to critical problems.
• Assess algorithm performance on real-world data.
• Support multiple projects throughout the company.
• Engage customers and collaborators to provide technical results and recommendations.
• Document results via written reports, briefings and well-commented code.
• Additional duties as assigned.

What You Need for this Position:

• Bachelor's, Master's or PhD degree in physical sciences, engineering, or mathematics.
• Ability to quickly pick up new skills and develop the expertise necessary to provide the best possible solution.
• Experience in prototype-level scientific programming (using Matlab, Mathematica, Python, and/or C/C++).
• Excellent interpersonal communications, technical writing, and briefing skills.
• Capacity to work in a team with minimal supervision.
• Agility to work multiple potentially disparate projects simultaneously.
• Proven capability to develop creative solutions to complex technical problems.
• Appetite to attack and solve interesting problems of critical importance to national security.