Machine Learning Engineer

Description

Etegent Technologies is a defense-focused technology company with offices in Beavercreek and Blue Ash, OH. We are a multi-disciplinary team of engineers, scientists, and management professionals dedicated to developing and commercializing AI/ML/Software solutions that address our customers’ most significant challenges and opportunities.

Most important to us are our culture and values. Etegent’s culture embodies respect, authenticity, collaboration, flexibility, curiosity, and fun.

Etegent is seeking Machine Learning Engineers (MLEs) to work with our Intelligence, Surveillance, and Reconnaissance (ISR) group based in the Beavercreek office. MLEs will work in a team environment with Etegent teammates, customers, and other researchers from leading academic institutions, government organizations and commercial entities.

We deliver solutions in the domains of AI/ML, data science, software, and visualization to address geospatial intelligence (GEOINT) challenges for Department of Defense and Intelligence Community (DoD/IC) customers. We develop data science tools to analyze large, diverse datasets from a variety of sensor types (SAR, ISAR, GMTI, HIS, EO, IR). We design and implement algorithms to perform pattern recognition, such as statistical and deep learning techniques, to identify meaningful trends and patterns.

We wrap these algorithms in accessible, scalable software to be deployed 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 Etegent’s office or at a customer facility 5 days a week.

More so than seeking a candidate with specific training and experience, Etegent is seeking a candidate with an innate curiosity and passion for learning and understanding, tempered by a recognition of the pragmatic constraints inherent in developing real solutions to real problems. Etegent needs an MLE who is flexible and adaptable, having the desire and ability to learn new skills and develop new capabilities to take on challenges outside their current realm of experience.

We are seeking very sharp, curious, well-rounded, adaptable people who can learn and grow as required to confront the challenges at hand.

• 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.

• Bachelor’s Degree in the fields of Computer Science, Engineering, Physics, Applied Math, or Statistics.
• 2-3 years of previous signal processing, computer vision, or machine learning experience.
• Experience developing ML models using standard ML frameworks (PyTorch, Tensorflow, or similar).
• Experience developing software tools capable of deriving value from large, diverse datasets.
• Background in data science, statistics, and/or computer vision.
• Experience creating python-based user interfaces for data visualization.
• Experience with Python, GIT, and Linux.
• Ability to acquire and maintain up to a TS security clearance