Applied AI Researcher, Cyber-Physical Systems Lead

Johns Hopkins Applied Physics Laboratory; Laurel (MD); On-site; USD 100,000 - 245,000; Full time

Benefits offered by this job

Education assistance

Retirement benefits

Healthy work-life balance

Job summary

Johns Hopkins Applied Physics Laboratory (APL) seeks an Applied AI Researcher to lead ML-driven development for cyber-physical systems and emerging technologies, building software that enables automated analysis, decision support, and operational effects.

You will manage multidisciplinary teams, mentor engineers, engage sponsors, and translate complex requirements into practical research directions that advance national security capabilities.

Qualifications

• Bachelor's degree in CS/AI or related field.
• 3+ years of software engineering or cyber-physical systems experience.
• Proficiency in Python, C/C++, and ML frameworks.
• Ability to obtain Interim Top Secret clearance by start date.
• Strong communication and leadership skills.

Responsibilities

• Develop software systems applying AI/ML to cyber-physical challenges.
• Lead multidisciplinary engineering teams and coordinate with sponsors.
• Translate operational needs into technical requirements.
• Pursue innovative research directions and transition capabilities to government users.
• Mentor junior engineers to grow technical excellence.

Skills

Python

C/C++

ML/AI

Team leadership

Requirements analysis

Education

Bachelor's degree in CS/CE/EE

Master's or Ph.D. in CS/AI/EE

Job description

Johns Hopkins Applied Physics Laboratory (APL) seeks an Applied AI Researcher to lead ML-driven development for cyber-physical systems and emerging technologies, building software that enables automated analysis, decision support, and operational effects.

You will manage multidisciplinary teams, mentor engineers, engage sponsors, and translate complex requirements into practical research directions that advance national security capabilities.