153 coding-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at Carnegie Mellon University in United States
Sort by
Refine Your Search
-
, you will identify, shape, apply, and conduct research in support of critical U.S. government needs. The ideal candidate will have a strong background with hands-on experience in one or more of the
-
possess an active TS/SCI DoW security clearance issued by the U.S. government. A counterintelligence polygraph is required or must be obtained upon request. Applicants must also meet additional customer
-
Reverse Engineer Researcher for the Threat Analysis directorate. The SEI is a federally funded research and development center at Carnegie Mellon University. What you’ll do Reverse engineer malicious code
-
malicious code in support of high-impact customers, design and develop new analysis methods and tools, work to identify and address emerging and complex threats, and effectively participate in the broader
-
; comfortable developing production‑grade code and APIs. Solid understanding of ML theory, statistical learning, and common algorithms. Hands‑on experience with TensorFlow, PyTorch, Torch, Caffe, or similar deep
-
help is needed. Must understand the scope of the job assigned and connect with customers to ensure scope of work is understood. Proven understanding of the National Electrical Code and applicable City of
-
unacceptable risk. Position Summary: As a Senior Autonomous Systems Research Scientist you will identify, lead, and conduct research in support of critical U.S. government needs. The ideal candidate will have a
-
systems sufficient to maintain credibility with engineering teams (deep coding expertise not required). Experience navigating complex stakeholder ecosystems involving multiple contractors, oversight
-
software-intensive systems sufficient to maintain credibility with engineering teams (deep coding expertise not required). Experience navigating complex stakeholder ecosystems involving multiple contractors
-
datasets. Collaborate with team members to debug models, analyze results, and iterate on research directions through regular code reviews and research discussions. Document research findings through clear