NPAworldwide ยท 2 days ago
Research Scientist - Adversarial AI (Autonomous Systems)
NPAworld is a premier national security research and development laboratory at the forefront of AI/ML innovation, seeking a self-motivated Adversarial AI Research Scientist. The role involves investigating AI vulnerabilities in the physical world, developing solutions, and conducting field tests to ensure the resilience of autonomous systems against real-world attacks.
Recruiting
Responsibilities
Vulnerability Research: Investigate AI/ML vulnerabilities across multiple modalities (Visual, Thermal, LiDAR) and various stages of the model training pipeline
Physical Prototyping: Devise and implement physically realizable solutions to test the AI controls of autonomous hardware in real-world settings
Software Development: Design and prototype cutting-edge software solutions to prove out technical concepts
Field Testing: Participate in field trials to validate research and technical designs against customer requirements
Collaboration: Work within a small, agile team of researchers and engineers with diverse technical backgrounds
Qualification
Required
Ph.D. in Computer Science, Computer Engineering, or a related field (focus on Machine Learning research) OR a Master's Degree (MS) with a minimum of 3 years of professional experience
Hands-on experience with state-of-the-art ML frameworks, specifically PyTorch, TensorFlow, or scikit-learn
Strong software development fundamentals and the ability to learn new technologies quickly
Excellent oral and written communication skills for presenting research findings
US Citizenship is required
Candidates must be local to or willing to relocate to the northern NJ area (no remote work allowed)
Preferred
A strong publication record in top-tier AI/ML conferences or journals
Specific research expertise in Adversarial Machine Learning (AML)
Experience with multi-modal sensor fusion (LiDAR, Radar, Thermal)
Company
NPAworldwide
NPAworldwide is a global recruiting network that facilitates placements that result in split fees.
Funding
Current Stage
Early StageRecent News
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