Machine Learning Engineer

Etegent Technologies•Beavercreek, OH

6d•Onsite

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.
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

Nice To Haves

Active TS security clearance
Experience with remote sensing data products such as SAR, ISAR, EO, GMTI, HSI, and OPIR.
Experience creating user interfaces with Dash, Streamlit, or other similar frameworks.
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.

Benefits

Flexibility: Not a morning person? No problem. We only ask that you begin your day by 10:00am. Also, you will enjoy a flexible schedule and some ability to telecommute.
Casual Dress: We know that incredible things can be achieved by people in casual clothing. We allow employees to dress in the way that is the most comfortable to them.
Professional Development: Continuous learning on us. Reimbursement provided for up to 100% of qualifying education expenses.
Food: Keep your energy levels up with our well-supplied snack and beverage kitchen and enjoy a weekly lunch with your talented colleagues on Free Lunch Thursdays.
Fun employee events: Enjoy frequent employee get-togethers outside of work!
Competitive compensation based on qualifications and experience of candidate.
medical/dental/vision plan
generous annual company 401(k) contribution

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume