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Staff Scientist, Artificial Intelligence & Machine Learning
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Description
Assured Information Security (AIS) has an opening for a remote Staff Scientist. In this role you will focus on driving new research and development in advanced AI/ML to build a center of excellence around this discipline. The Staff Scientist will lead AI/ML research within AIS, representing the organization across customers and the broader research community. AIS specializes in high-risk, high-reward research with a strong emphasis on early technology readiness levels (TRLs), primarily emphasizing fundamental research and early R&D across TRLs 1-4. Customer focus includes the Defense Advanced Research Projects Agency (DARPA), the Air Force Research Laboratory (AFRL), the Army, as well as other emerging R&D-focused organizations. AIS performs fundamental research in areas that include reinforcement learning, transfer learning, explainability, computer vision, and natural language processing. In addition, AIS possesses expertise in applied AI/ML R&D across areas that include cyber operations, behavioral biometrics, modeling and simulation, cybersecurity, and audio exploitation. The ideal candidate will be a recognized innovator in the field of artificial intelligence and machine learning who will lead the expansion of a substantial R&D portfolio aligned with DoD and IC customer's needs. The candidate will advise fellow scientists, engineers, and support staff across multiple teams to secure innovative R&D projects, grow a technical team of talented experts, and pursue revolutionary results for high-risk, high-reward challenges. Additionally, the role will include strategic planning, publishing research, attending leading conferences, engaging with customers, supporting academic outreach, and mentoring junior staff. A successful candidate will possess leading subject matter expertise in deep reinforcement learning, further benefitted by familiarity with one or more of the following: explainability, transfer learning, intelligent agents, adversarial learning, curriculum learning, policy optimization, lifelong learning, and semantic modeling. Additionally, a strong candidate would benefit from experience applying these techniques to modeling & simulation, cybersecurity, robotics, and/or other DoD-relevant areas. This position requires proficiency in written and oral communication, novel concept generation, and leadership of research teams. Responsibilities Include:
Required Qualifications:
Desired Qualifications:
EOE/AA Disability/Veteran Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)
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