Description

The Leidos Innovation Center (LiNC) at Leidos currently has an opening for an Artificial Intelligence (AI) Researcher to work at our customer site on Wright-Patterson AFB, OH. We are seeking a dedicated, talented, and experienced AI Researcher to work as part of a leading-edge research and engineering, design and development team. Leidos seeks mission and team-oriented individuals who enjoy working as an individual contributor in highly collaborative and interdisciplinary teams.

The AI Researcher will contribute to the Adaptive Technologies for Force Readiness Program supporting AFRL/RHW. The ATFR Program provides the Air Force with research into a wide range of advanced machine learning (ML) technologies--such as cognitive modeling, adversarial robustness, and reinforcement learning—with the goal of creating reliable autonomous agents capable of teaming up with Warfighters in dynamic mission environments.

The Air Force is increasingly utilizing machine learning (ML) in human-machine teaming systems to advance our understanding and capabilities to assess the performance of ML systems under a variety of conditions, including adversarial ML. We also seek to develop novel metrics for measuring robustness of ML systems when humans are integrated into the learning process or when ML is integrated into human decision making.

This effort involves researching state of the art ML models and training methods together with assessments of model robustness. At the conclusion of the project, we aim to have a better understanding of the mechanisms for and measurement of robustness in the context of machine learning.

Primary Responsibilities

You will work as part of a research team to develop creative and innovative solutions for complex machine learning and artificial intelligence problems.

• Work within a research team to develop creative and innovative interfaces for complex analytical data produced by ML and Artificial Intelligence (AI) systems.

• Direct, collect, understand, and process various types of data for developing analytics visualizations for research and analysis.

• Build creative visualizations and user interfaces that show off the models being tested and allow for human feedback or enable active and interactive learning paradigms.

• Help bridge the gap between computers and humans utilizing ML, AI, and intelligent user interfaces.

Basic Qualifications

• Master’s degree or higher, or a bachelor’s degree with 2+ years' experience in Computer Science, Visual Analytics, Machine Learning, Mathematics or related field.

• Experience in Deep Learning.

• Experience with conducting research in machine learning.

• Experience in development of distributed, web-based systems, service-oriented architectures, front-end user interfaces, and back-end databases.

• Experience with Visual Analytics, Human-Computer Interactions, Artificial Intelligence, Machine Learning, and Explainable AI (XAI).

• Proficient with PyTorch and Numpy.

• Experience with UI development.

• Proficient with git.

• Possess solid software development and programming skills in Python, JavaScript, and Web Developement.

• Experience using data visualization tools and/or libraries such as React, d3, or other tools.

• Self-motivated with strong intellectual curiosity, especially around defining impact.

Preferred Qualifications

• Experience with Adversarial Robustness.

• Experience with Active or Interactive Machine Learning.

• Experience with human subjects research, user studies, or UX design and testing.

• Experience in a research environment.

• Cognitive modeling/ intelligent agent experience.

• Experience using High Performance Computing or Cloud Computing.

• Active DOD Secret security clearance.

LInC

Electronic Warfare

Pay Range:

Pay Range $63,050.00 - $97,000.00 - $130,950.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.