Threat Analytics Engineer: AI, Data Science & Ontology

The Johns Hopkins University Applied Physics Laboratory; Laurel (MD); On-site; USD 41,000 - 55,000; Full time

Job summary

The Johns Hopkins University Applied Physics Laboratory (APL) seeks engineers, data scientists, and ontologists to join a cross-disciplinary team developing AI-enabled systems for national security challenges. You will collaborate with experts across CWMD, intelligence, biothreat security, online disinformation, and disease surveillance to identify and prioritize data for timely action.

Ideal candidates are pursuing Bachelors, Masters, or PhD in CS/Math/Engineering with strong communication,

Qualifications

• Pursuing a Bachelor's, Master's, or PhD in CS/math/engineering or related field.
• Maintained a minimum 3.0/4.0 GPA.
• Strong problem-solving, analytical and organizational skills.
• Experience working in a team environment.
• Excellent written and verbal communication skills.

Responsibilities

• Be part of a multi-disciplinary team building novel technical approaches and systems for solving critical national challenges.
• Apply skills to AI/ML, data science, mobile/web software, NLP, and Semantic Web technologies.
• Collaborate with engineers to integrate models into analytic pipelines.

Skills

Java

Python

JavaScript

Angular

VueJS

ReactJS

Communication

Teamwork

Education

Bachelor's/Master's/PhD in CS/Math/Engineering

Tools

Docker

PyTorch

TensorFlow

Scikit-Learn

Pandas

NumPy

Job description

The Johns Hopkins University Applied Physics Laboratory (APL) seeks engineers, data scientists, and ontologists to join a cross-disciplinary team developing AI-enabled systems for national security challenges. You will collaborate with experts across CWMD, intelligence, biothreat security, online disinformation, and disease surveillance to identify and prioritize data for timely action.

Ideal candidates are pursuing Bachelors, Masters, or PhD in CS/Math/Engineering with strong communication,