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Machine Learning Engineer
3 months ago
Machine Learning Engineer
EMSI currently seeks a US citizen Machine Learning Engineer who can develop cutting edge Deep Learning technologies applied to the automated search and ID of high value objects in Space Based Synthetic Aperture Radar (SAR) imagery. You will have considerable responsibility, and your role will have direct impact on relevant issues facing United States government customers. Ideal candidates will have a strong background in Machine Learning (preferably Deep Neural Networks), and will need to be flexible in a small business environment. Familiarity with radar sensing phenomenology and Open Source frameworks is a huge plus, as well as the ability to program in Python.
Applicant MUST be a U.S. citizen and be capable of obtaining a Top Secret clearance.
Responsibilities:
- Research, conceive, design, prototype and/or implement advanced Deep Neural Network Architectures as well as other relevant Machine Learning models
- Apply deep learning algorithms to train neural networks for object detection and classification
- Develop domain-aware pre-processing algorithms, and other methods to increase model generalization
- Apply signal pre-processing techniques on SAR data
- Create physics simulations of various phenomenologies and develop methods to account for bias between simulated and real-world data
- Develop appropriate objective functions and sound performance assessment plans
- Present research at meetings and conferences
- Develop and deliver production-quality code (mainly Python)
Basic Qualifications:
- Bachelor’s degree in engineering, physics, mathematics, computer science, data science, or related technical field
- Demonstrated mathematical problem solving ability and data analysis experience
- Experience implementing machine learning, data mining, and statistical algorithms for pattern recognition and development of predictive models
- Strong programming ability
- Experience with signal and image processing
- Experience with open source and other scientific software packages
- Must be flexible and a self-starter
- Demonstrated interpersonal communication, presentation skills, verbal and written communication skills
- Must be a U.S. citizen
Preferred Qualifications:
- Master’s degree or PhD in engineering, physics, mathematics, computer science, data science, or related technical field
- Experience with Synthetic Aperture Radar (SAR) data
- Strong programming ability in Python, C/C++, and Matlab
- Experience implementing Deep Learning techniques using Theano and Keras
- Experience delivering production-quality code
- A U.S. Top Secret or SCI clearance
Benefits:
- Salaries are more than competitive within the industry and will be commensurate with an applicant’s experience.
- We offer an extremely generous retirement program consisting of a company-paid contribution equal to 15% of the employee’s salary. Although an employee can make voluntary salary deferrals, no employee contribution is required to obtain this company-paid 15% contribution.
- PPO company-paid health plan
- Generous vacation
- Flexible work schedule
- All employees participate in company bonus plan
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