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Department Summary :
Our AI-enhanced Discovery and Decisions department has a need for an Artificial Intelligence Biometrics Engineer with a passion for artificial intelligence (AI) and expertise in biometrics.
We are specifically looking for talent in machine learning, and one or more of the following technical areas : biometric identification, deepfake detection, computer vision, image processing, speaker identification, statistical evaluation of biometric systems.
As an Artificial Intelligence Biometrics Engineer, you will have opportunities to work on a wide range of problems, leading and working in interdisciplinary teams.
Your experience will allow you to :
- Apply AI and machine learning techniques to biometric and identification systems.
- Design, develop, evaluate, and field AI solutions that inform consequential, mission-critical decisions.
- Assess the adequacy and maturity of existing AI-focused R&D programs and shape their technical and programmatic direction.
- Identify and lead new R&D opportunities to strengthen the nation’s growing artificial intelligence capabilities.
Roles & Responsibilities :
- Work in cross-functional teams to develop and implement AI-enhanced biometrics solutions.
- Apply modern AI and engineering techniques to develop prototypes based on analysis of workflow and operational needs.
- Propose and execute novel, cutting-edge research in Al-enhanced biometrics.
- Evaluate Al solutions against sponsor requirements and produce actionable recommendations.
- Lead projects or small teams to solve complex problems for our sponsors.
Basic Qualifications :
Requires a minimum of 5 years of related experience with a Bachelor’s degree in computer science or an engineering discipline related to artificial intelligence;
or 3 years and a Master’s degree; or a PhD with relevant experience who can immediately contribute.
- Hands-on experience with machine learning (including deep learning), and one or more of the following technical areas : computer vision and image processing, multi-modal large language models, speaker identification / verification technologies.
- Knowledge of and experience with biometrics-specific statistics and analysis.
- Ability to articulate challenges in biometrics R&D and identify gaps.
- A keen interest in learning about and rapidly responding to new problems across a variety of domains.
- Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences.
- Ability to work independently to learn new technologies, techniques, processes, languages, platforms, and systems.
- Ability to function as a member of cross-functional teams.
- Experience with programming languages such as C++ and Python.
- Must be able to obtain and maintain a US government clearance DoD Secret).
- This position requires a minimum of % hybrid on-site.
Preferred Qualifications :
- Experience with multiple biometric identification modalities including fingerprint, face, iris, and speaker identification.
- Experience with biometric capture devices.
- Ability to integrate biometric technologies into operational environments.
- Ability to apply multiple biometric vendor interfaces.
- Understanding of NIST biometric performance objectives and studies.
- Experience with Linux OS and mobile devices.
- Knowledge of distributed computing methods RabbitMQ, Zookeeper).
- Knowledge of containerization Docker) and DevOps.
- Active DoD Secret clearance (Top Secret highly preferred)
This requisition requires the candidate to have a minimum of the following clearance(s) :
None
This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s) :
Secret
Work Location Type : Hybrid
Hybrid
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