As a Senior Research Scientist specializing in Artificial Intelligence for a high-security environment in Bethesda, MD, you will join a team dedicated to advancing cognitive computing solutions. Your role involves architecting AI systems using cutting-edge technologies like GitHub Copilot and Amazon Code Whisperer, developing comprehensive cognitive solutions with NLP and ML frameworks such as TensorFlow and PyTorch, and collaborating on the full lifecycle of AI projects from research to deployment in production environments. You will optimize AI systems by leveraging Python libraries including SciKit Learn and Pandas, while working within a classified data environment that requires TS/SCI clearance and full-scope polygraph. This role demands expertise in applied research areas such as quantum information science, circuit fabrication techniques, and materials characterization, along with experience supporting federal clients in defense or intelligence sectors.
Design and deliver AI solutions using foundation models and large language models.
Create cognitive computing systems that process both structured and unstructured data.
Work on full AI project lifecycle from research to deployment in production environments.
Pioneer innovative AI solutions to solve complex business problems and drive advancements.
Optimize AI systems for effective use of libraries like SciKit Learn, Pandas, Matplotlib.
What we're looking for
12+ years of experience in science and applied research in computer science, electrical engineering, material science, physical sciences, chemical engineering, or physics.
Strong foundation in AI, NLP, ML, and expertise with TensorFlow, PyTorch, Keras, SciKit Learn, Pandas, Matplotlib.
Experience authoring and publishing applied research papers and holding patents.
TS/SCI clearance and full-scope polygraph required.
4+ years of experience in advanced computing systems or quantum information science and technology.
Excellent communication, organization, and presentation skills for federal clients in defense, intelligence, or national security.
Knowledge of classified data environments and secure data handling practices.
Python
Deep Learning
AI Architectures
Training Pipelines
Speech Generation
Audio Modeling
Large-Scale Neural Models
Research Prototypes
CI/CD
Scalability
Technical Mentorship
Publication at Conferences
Patent Protection