Research Scientist - AI/ML for National Security

Johns Hopkins Applied Physics Laboratory; Laurel (MD); On-site; USD 105,000 - 245,000; Full time

Benefits offered by this job

Education assistance

Retirement plans

Paid time off

Job summary

Johns Hopkins Applied Physics Laboratory (APL) seeks an early-career AI researcher to help close the gap between frontier models and real-world sponsor expectations. The role emphasizes foundational AI research with cross-mission impact and opportunities to propose seedling-funded ideas.

You will contribute to publications and engage with the broader research ecosystem, aiming to grow into a leadership role within the REDD department.

Qualifications

• Have a PhD or equivalent degree with dissertation work in fundamental AI research.
• Have a strong record of peer-reviewed publications in reputable journals and/or conferences.
• Are proficient in Python programming with experience using PyTorch and/or Jax, including Hugging Face libraries (transformers, diffusers, datasets, tokenizers, etc.).
• Are able to acquire an Interim Secret level security clearance by your start date and can ultimately acquire a final Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

Responsibilities

• Contribute to foundational AI research with cross-mission impact at JHU/APL.
• Grow into a thought leadership role and help seed external projects with program managers.

Skills

Python programming

Publications track record

Security clearance eligibility

Dissertation in AI research

Education

PhD or equivalent in AI

Tools

PyTorch

Jax

Hugging Face libraries

Job description

Johns Hopkins Applied Physics Laboratory (APL) seeks an early-career AI researcher to help close the gap between frontier models and real-world sponsor expectations. The role emphasizes foundational AI research with cross-mission impact and opportunities to propose seedling-funded ideas.

You will contribute to publications and engage with the broader research ecosystem, aiming to grow into a leadership role within the REDD department.