Machine Learning Engineer

Etegent Technologies, LTD•Beavercreek, OH

11d•Onsite

About The Position

Etegent Technologies is a defense-focused technology company dedicated to developing and commercializing AI/ML/Software solutions. We are seeking Machine Learning Engineers (MLEs) to work with our Intelligence, Surveillance, and Reconnaissance (ISR) group. MLEs will collaborate with Etegent teammates, customers, and researchers to deliver solutions in AI/ML, data science, software, and visualization for geospatial intelligence (GEOINT) challenges for Department of Defense and Intelligence Community (DoD/IC) customers. This involves developing data science tools to analyze large, diverse datasets from various sensor types, designing and implementing algorithms for pattern recognition using statistical and deep learning techniques, and wrapping these algorithms in scalable software for deployment on customer systems, often requiring containerized software and custom user interfaces for visualization. This position is based in Beavercreek, OH, with the expectation of being in the office or at a customer facility 5 days a week.

Requirements

Bachelor’s Degree in the fields of Computer Science, Engineering, Physics, Applied Math, or Statistics.
Previous experience signal processing, computer vision, or machine learning experience.
Experience developing ML models using standard ML frameworks (PyTorch, TensorFlow, or similar).
Background in data science, statistics, and/or computer vision.
Experience with Python, Git, and Linux.
Ability to acquire and maintain up to a TS security clearance.

Nice To Haves

Active TS security clearance.
Experience with remote sensing data products such as SAR, ISAR, EO, GMTI, HSI, and OPIR.
Experience creating python-based user interfaces for data visualization.
Experience developing scalable, modular software tools.
Familiarity with DoD/IC customers.
Experience maintaining successful relationships and developing business with R&D customers.
History of technical presentations and publications in relevant fields.
Independent and innovative thinker with an ability to work in an autonomous environment.
Demonstrates curiosity with a focus on innovating solutions for tasks.
Effective communicator who can collaborate with teammates and customers to solve problems.
Able to take personal ownership and responsibility over their work.

Responsibilities

Effectively communicate status updates, and other important information, with the team and group leader.
Execute research-and-development tasks in close collaboration with the team and group leader according to a set project schedule.
Gives effective feedback to others; contributes to the writing of project updates and final reports.
Understand, design, and implement algorithms for signature exploitation. This includes traditional feature extraction and state-of-the-art deep learning approaches.
Implement efficient signal/image processing techniques including radar signal processing, electro-optical and infrared image processing.
Develop and deploy data science tools for ingestion, visualization, and analysis of large, diverse data sources.
Implement machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection.
Provide expertise in data analytics and algorithm development for diverse data sources and applications.
Apply statistical techniques to evaluate algorithm performance.
Coordinate with teammates and users to instantiate research concepts in efficient, modular, and well-documented software.