Machine Learning Researcher

Johns Hopkins Applied Physics Laboratory•Laurel, MD

About The Position

Are you a talented scientist looking to achieve technical breakthroughs at the cutting edge of artificial intelligence (AI) and machine learning (ML)? Do you thrive in a collaborative research environment, working alongside an energetic, multidisciplinary team of scientists and engineers? Are you ready to help the US secure and maintain leadership in the development and fielding of AI/ML algorithms for non-kinetic defense systems? If so, we 're looking for someone like you to join our team at APL. We are seeking an experienced Research Scientist to make substantial technical contributions in the pursuit of advanced research and innovative applications of AI/ML. You will be joining a team of engineers and scientists who are at the forefront of APL's mission to provide innovative solutions to critical challenges. As an AI/ML Research Scientist, you will: Pursue research that advances the science and applications of AI/ML to develop novel technical capabilities poised to revolutionize 21st century national security. Design, implement, and evaluate new algorithms, models, and agents for super human decision making, reinforcement learning, and machine learning generally. Collaborate closely with the talented team of scientists and engineers in our group and with others across APL. Document and publish your scientific results in academic conferences and journals to advance our collective knowledge in this fast paced, dynamic field of study.

Requirements

Hold a PhD in Computer Science, Engineering, Math, Statistics, or a related field.
Have a deep understanding of, and demonstrated expertise in, technical efforts related to AI/ML: deep learning, reinforcement learning, AI Explainability, or a closely related area.
Have strong, effective communication skills - both verbal and written.
Have experience developing AI/ML research prototypes in code, using one or more of scikitlearn, Tensorflow, PyTorch, or similar machine learning frameworks in Python.
Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a 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 at least five years of relevant experience.
Possess demonstrated research experience represented by publications in academic conferences and journals.
Have a track record of proposing, developing, and successfully executing novel research initiatives in the application of AI/ML.
Have a strong understanding of state-of-the-art techniques in neural networks and reinforcement learning.
Have experience working with models and simulations using C, C++, Java or other suitable programming languages (in addition to Python).

Responsibilities

Pursue research that advances the science and applications of AI/ML to develop novel technical capabilities poised to revolutionize 21st century national security.
Design, implement, and evaluate new algorithms, models, and agents for super human decision making, reinforcement learning, and machine learning generally.
Collaborate closely with the talented team of scientists and engineers in our group and with others across APL.
Document and publish your scientific results in academic conferences and journals to advance our collective knowledge in this fast paced, dynamic field of study.