
location_onMobile Drive, Waples Mobile Home Community, Fairfax County, Virginia, 22030, United States
At Bcore, our strength comes from how we deliver impact to the mission. Whether it's architecting critical IT solutions, producing actionable intelligence, or developing cutting-edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational support.
Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions.
Do you want to join a team that is building tailored technical solutions to modernize our government's mission and our client's business? Do you have a desire to change how people work? Are you interested in helping to protect our nation's cyber interests?
Join our growing team supporting customer missions as an AI/ML Engineer in McLean, Virginia. In this role, you will operate at the intersection of advanced research and practical application, conducting independent technical research to evaluate emerging AI/ML approaches. You will apply advanced analytical problem-solving comparable to PhD-level research environments to rapidly learn and implement new methodologies in support of evolving mission requirements.
BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, or any other characteristic protected by law.
Work model: On-site
Mobile Drive, Waples Mobile Home Community, Fairfax County, Virginia, 22030, United States
Virginia
Advanced research experience in machine learning, deep learning, natural language processing, generative AI, reinforcement learning, computer vision, or related disciplines. Experience publishing research, contributing to open-source AI/ML initiatives, or leading experimental and prototype development efforts. Familiarity with model evaluation frameworks, fine-tuning workflows, inference optimization, and AI observability/monitoring tools. Experience with vector databases, AWS/cloud environments, Docker, and containerized AI/ML development workflows. Experience designing and integrating REST APIs and scalable data architectures.
Skills: Python, Rag, LLM, Rest Api, Postgres, Machine Learning, Deep Learning, Natural Language Processing, Generative Ai, Reinforcement Learning.
Education: Bachelor's degree required with 8 years experience or equivalent; Master's degree required with 7 years experience or equivalent; Doctorate degree required with 6 years experience or equivalent.