Kostas Research Institute for Homeland Security of Northeastern University (KRI, LLC) is seeking a motivated Machine Learning/Artificial Intelligence Data Scientist to join our collaborative, vibrant and dynamic research and development group working on groundbreaking research. We are looking for a driven, machine-learning computer scientist with capability to create complex processing pipelines for large data sets that include geospatial and UAV multimodal feeds. The successful candidate will pioneer technology for our next generation of software and tools and will collaborate with a cross-disciplinary team of embedded software engineers, senior research engineers, PhDs, and Professors to define, validate, refine and implement in-house ML-AI many level neural networks for scalability and prototype development.
This position is located on the Northeastern Innovation Campus at Burlington, MA reporting to the Chief Technology Officer.
All KRI, LLC opportunities require U.S. Citizenship
Responsibilities
Research & Development
- Assess customer systems and processes for application of machine learning / artificial intelligence technologies to support their needs
- Create and prototype machine learning approaches to demonstrate efficacy
- Support algorithm implementation in various computing environments
- Coordinate with external agencies and research partners on emerging methods and technologies for the application of ML/AI to their needs
- Communicate advanced ML/AI concepts to senior leadership to facilitate decision making
- Perform basic and applied research in ML; document and present research results and the status of ongoing or emerging projects
Obtain Research Funding
- – Write and/or contribute to research proposals and develop budgets and other technical project related materials
- – Develop relationships, funding pipelines, and provide opportunities to further NU and KRI,LLC goals and objectives
Qualifications
- U.S. citizenship required
- Eligibility to obtain and maintain a DOD Top Secret with SCI clearance
- Masters or Doctorate degree in Computer Science, Mathematics, Engineering or equivalent.
- 3-5 years’ experience in machine learning/statistical analysis, neural networks, and data mining
- Experience developing and implementing machine and deep learning algorithms
- Superior communications skills, both written and verbal, and team player
Preferred Qualifications
- Current Top Secret with SCI clearance
- Fluency in C/C++, Python/R, Matlab, Unix and Linux systems, Open source repositories