Machine Learning Engineer
About The Position
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.
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.
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.
Benefits
- Competitive salary
- Medical/dental/vision plan
- Generous annual company 401(k) contribution
- Flexibility: Begin your day by 10:00am
- Flexible schedule
- Some ability to telecommute
- Casual Dress
- Professional Development: Reimbursement provided for up to 100% of qualifying education expenses.
- Well-supplied snack and beverage kitchen
- Weekly lunch on Free Lunch Thursdays
- Fun employee events
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
