Infoscitex, a DCS Company, has an opportunity for an Adversarial Machine Learning Scientist to join our team.
In this role, your job responsibilities will include:
Implement, perform and document machine learning experiments in the field of adversarial examples in machine learning.
Recommend avenues of research and design experiments to characterize the phenomenon of adversarial examples and their impact on the practical use of AI.
Design and implement methods to rigorously evaluate machine learning techniques in adversarial attack/defense developed by other performers in academia and industry.
Communicate between distributed government, academic and contractor research teams to synthesize research results and coordinate joint experimentation/evaluation.
Identify ongoing and future technology trends relevant to the field of adversarial examples.
Write and present technical findings in venues to be determined.
Other duties as assigned.
Due to the sensitivity of customer related requirements, U.S. Citizenship is required.
At least a BS in EE, CSE, or a related field; and at least 5+ years of experience in computer/data science or a related field. (There are multiple levels associated with this opportunity category. Candidates with advanced degrees or varied levels of experience may be considered for alternative classification.)
Applicants selected will be subject to a U.S. Government background investigation and must meet eligibility requirements for access to classified information.
Basic Python programming ability.
Basic Linux computing ability.
2+ years’ experience in Machine Learning/Artificial Intelligence.
Fluent Python programming ability.
Fluent Linux computing ability.
Demonstrates excellent written communication skills.
MS or PhD.
Experience with sensor data in varied modalities (EO, SAR, IR).
Ability to obtain and maintain Top Secret security clearance.