Machine Learning Engineer - US Citizen

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