Engineer - Analytic Capabilities

Johns Hopkins Applied Physics Laboratory•Laurel, MD

116d

About The Position

Are you searching for a place to build upon the foundation of your academic work? Would you like to find engaging work with an employer that prioritizes impact, innovation, and personal development? If so, we're looking for someone like you to join our team at APL! If you are graduating with a PhD in computer science, mathematics, engineering or a related field, we are looking for someone like you to assist us in tackling complex research, engineering, and analytical challenges that are critical to our nation. To address these emerging national challenges, we design and develop scalable software systems that leverage data science, visualization, large language models, and artificial intelligence across various domains, including social media analysis, healthcare, cybersecurity, and signal & image processing. As a member of our team you will... Collaborate with dedicated colleagues in developing solutions that align with national priorities. Dive into exciting projects and apply your skills in areas like Artificial Intelligence, Machine Learning, Data Science, Software Engineering, DevOps, Signal and Image Processing, and Mathematics.

Requirements

Have a PhD in Computer Science, Mathematics, Engineering, or related technical field
Are able to acquire an Interim Secret level security clearance by your start date and can ultimately acquire a 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.

Nice To Haves

Have experience with modern UI frameworks such as react, vue, or angular
Have experience with Python, Java, or Javascript
Have experience with LLM engineering such as prompt design, retrieval-augmented generation (RAG), or agentic frameworks

Responsibilities

Collaborate with dedicated colleagues in developing solutions that align with national priorities.
Dive into exciting projects and apply your skills in areas like Artificial Intelligence, Machine Learning, Data Science, Software Engineering, DevOps, Signal and Image Processing, and Mathematics.