AI/ML Job: Machine Learning Engineer


Expedition Technology Inc

Machine Learning Engineer at Expedition Technology Inc

Dulles, Virginia, United States 🇺🇸   (Posted Jun 17 2018)
About the company
To operate in an increasingly complex environment, success depends on the ability to obtain accurate insight and to provide awareness wherever and whenever necessary. At EXP, our mission is to research, design, develop and deploy discriminating signal and image processing solutions for our customer's most demanding C4ISR problems. Our approach brings together a talented and multi-disciplinary team of data scientists and engineers who craft innovative analytical tools and enable autonomous systems. EXP is a growing technology firm focused on gaining more insight and delivering higher quality data products from simpler systems. We adhere to a management philosophy that emphasizes individual growth and achievement, and that employs a nimble and inclusive approach. We offer a close-knit camaraderie and a highly talented team of individuals working towards common goals.

Job position
Permanent

Job description
Successful applicants will support a range of programs and roles, potentially including a combination of conceptual R&D, product development, project management, team leadership, customer engagement and new business development. Occasional travel may be required. Candidates must have a Bachelor’s degree or equivalent in a relevant field of study. Advanced degrees are strongly preferred.

U.S. citizenship is required for this position as is the ability to obtain a U.S. security clearance. Current security clearance preferred.

Skills & requirements
Expedition Technology Inc. (EXP) is seeking strong candidates from junior through senior levels, with 2+ years experience with machine learning approaches and concepts, particularly deep learning. Experience in some of the following areas is very useful:

Computer vision

Pattern recognition

Deep learning

Navigation

Radar

Lidar

Advanced image and video processing

Data science and analysis

Instructions how to apply
see the website
[ job website ]

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