Technical SETA, AI/ML - DSO

ECS is seeking a Technical SETA, AI/ML – DSO to work in our Arlington, VA office.  Please Note: This position is contingent upon additional funding.

 

ECS seeks a Technical Science, Engineering, and Technical Advisory (SETA) candidate to provide onsite support to DARPA's Defense Sciences Office (DSO). DSO works to identify and create the next generation of scientific discovery to fuel innovation throughout the agency and beyond. DSO develops and manages an aggressive and forward-leaning portfolio that expands the art of the possible across a broad set of technical areas.

 

The successful candidate will support a DARPA program manager by participating in or leading all activities in project management, technical and programmatic risk analysis, program-funded test coordination, and coordination with members of the Department of Defense for transition. The candidate will also be responsible for coordinating meetings, assessing performer technical progress, projecting performer outcomes, and ensuring that project management best practices are followed by performers, independent verification and validation (IV&V) entities funded by DARPA, and within DARPA itself. Duties range from developing point papers, slide decks, and other materials that convey the need, status, and importance of a program to researching unique problem set ideas to aid in National Security priorities.

 

Qualifications

• Ability to obtain and maintain a minimum of a DoD Secret clearance
• Master's degree in a STEM field or related field (Computer Science, etc.)
• 1+ years of experience

• Machine learning experience, including:

   - at least Large Language Models (LLMs) (i.e., AI foundation models) and      natural language processing (NLP)

  - logic/reasoning (i.e., “knowledge representation and reasoning”) including: 

   at least knowledge graphs (KGs); and preferably, more expressive logic programs (a.k.a. semantic rules)

• Ability to communicate effectively with excellent oral and written skills.
• Ability to learn new subjects and gain rapid insights into current and next-generation research topics, preferably with hands-on leadership of research programs at the performer level in multidisciplinary fields.