Hybrid - Bedford, MA or Mclean, VA (Mandatory Thursdays in office)
My client is a non-profit, government-funded research organization that is advancing national security and providing independent advice on matters of public interest. With a significant portion of the American public expressing skepticism about AI, they are dedicated to changing that narrative and fostering trust in AI technologies.
This role will be on the Trusted and Secure AI team, where the mission is to develop AI products and services that enhance collective societal well-being. They are seeking a Staff AI Security Engineer to provide technical leadership and drive innovation in the development of secure AI/ML solutions, with a specific focus on large language models (LLMs)
The Role
Analyze AI use cases to recommend secure and trustworthy solutions to sponsors.
Prototype AI and LLM-based tools to meet operational needs.
Evaluate technology solutions in the context of mission data and workflows, providing actionable recommendations.
Communicate complex ideas to non-technical audiences through briefings and white papers.
Lead or significantly contribute to projects aimed at solving complex AI security problems for our sponsors.
Qualifications
Bachelor's degree in Computer Science, Engineering, or a related field; an advanced degree (Master's or PhD) is strongly preferred.
Security clearance required (TS/SCI preferred; candidates must be able to obtain clearance if not currently held).
Must have experience in the government security space
Strong emphasis on thought leadership-publications and experience in an academic setting are highly valued.
Proven experience with prototyping, LLMs, and building databases or data pipelines. Candidates should be comfortable and excited about creating solutions from scratch.
Demonstrable experience with LLMs, particularly in innovative applications beyond typical chatbot implementations.
THE BENEFITS
A competitive base salary of $160,000-$200,000 will be offered (dependent on experience) + Equity + Benefits
HOW TO APPLY
Please register your interest by sending your Resume to Cassie Wandell via the Apply link on this page
KEYWORDS
MLOps | Machine Learning | AI | TensorFlow | Deep Learning | AWS | PyTorch | Edge Computing | Agile | Python | Hadoop | Java | C | API | TSSCI | Big Data | Statistics | Bayesian