Applied AI Researcher

Potential Applied AI Researcher Role

Talent Network Notice: This page describes a potential future CargoGuard role. It does not mean CargoGuard is currently hiring for this position, and the responsibilities below describe potential future scope rather than current team structure or operations.

This future role would evaluate AI methods that could improve document review, identity checks, location-integrity analysis, and other freight-security workflows. The work would emphasize careful testing, measurable usefulness, and human review before any method is relied on operationally.

What You Will Do

• Research and prototype methods for detecting GPS spoofing, forged documents, and synthetic identities
• Apply large language models and computer vision to bills of lading, rate confirmations, and driver credentials
• Build evaluation frameworks that test misuse scenarios, edge cases, and failure modes
• Move promising research into production alongside our ML engineering team
• Track the state of the art and advise leadership on emerging AI threats and opportunities
• Document results clearly and, when appropriate, contribute to research, patents, or industry discussions

What We Require

• Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or a closely related field
• 5+ years of post-doctoral or industry research experience with work deployed in production
• First-author publications at top venues such as NeurIPS, ICML, ICLR, CVPR, ACL, or USENIX Security
• Deep expertise in at least one of: computer vision, large language models, adversarial ML, or signal processing
• Expert Python and PyTorch skills with experience training and fine-tuning large models
• Ability to independently scope ambiguous problems and drive them to measurable results
• Outstanding written and verbal communication skills

What Sets You Apart

• Research in deepfake detection, document forensics, or GNSS security
• Patents or open-source tools with meaningful adoption
• Experience at a leading industrial AI lab

About Our Talent Network

This page is part of the CargoGuard Talent Network. It describes a role that may become relevant as the company grows. Submitting your background does not create an employment relationship or guarantee that this position will open.

CargoGuard is an equal opportunity employer. We welcome applicants of every background and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic.

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