414 machine-learning "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" uni jobs at Carnegie Mellon University
Sort by
Refine Your Search
-
Listed
-
Field
-
or instrumentation frameworks (e.g., Frida, QEMU, Unicorn Engine) General understanding and experience in artificial intelligence and machine learning and using artificial intelligence to support reverse engineering
-
cybersecurity research. Who you are: You have BS in machine learning, cybersecurity, statistics, or related discipline with three (3) years of experience; OR MS in the same fields with one (1) year of experience
-
language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative ways to understanding, processing, and
-
currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt AI and machine learning to provide leap-ahead mission
-
, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
-
, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
-
purpose is to help organizations acquire and operate software-reliant systems that are secure, reliable, sustainable, and mission-effective, delivered on time and within budget. If you are creative, curious
-
language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative ways to understanding, processing, and
-
decisions regarding software design and technology selection including hands-on development activities. Requirements: BS in Computer Science, Software Engineering, Computer Engineering, or a related field
-
, hands-on lessons for learners in K-12 and beyond, on a variety of STEM topics including robotics, machine learning, and technical soft skills. The team is supportive, active, and committed to positive