256 evolution "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at Carnegie Mellon University
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Job Function Software/Applications Development/Engineering Position Type Staff – Regular Full Time/Part time Full time Pay Basis Salary More Information: Please visit “Why Carnegie Mellon ” to learn
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production‑grade software development, you will translate cutting‑edge AI concepts into robust, mission‑scale solutions for the warfighting community. You will work comfortably with large‑scale foundation
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coordination with university departments before and after student and scholar arrival, program development and implementation, policy development, advocacy, and special projects. collaborating closely with other
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identifies and cultivates scholarship opportunities for the INI students. Core Responsibilities: Partnership Development: Cultivate strategic relationships with external partners to secure sponsorships for INI
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/professional development training. Other duties as assigned. Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively
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Associate II to work on an Agentic AI project for document understanding, especially in the legal domain. Core Responsibilities Working with databases and software development Machine learning and AI model
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develops and uses best-in-class tools to enable end-to-end software development? If so, we want you for our team, where you’ll be part of an exciting and impactful culture of collaboration that delivers
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with an exceptional organization?! Apply today! Location Arlington, VA, Pittsburgh, PA Job Function Software/Applications Development/Engineering Position Type Staff – Regular Full Time/Part time Full
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experience in software development and project management (minimum 4 years) can be considered. This is an hourly paid position through CMU. Current students and alumni are encouraged to apply. The compensation
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development center (FFRDC) at Carnegie Mellon University. What you’ll do: Develop state of the art approaches for analyzing robustness of AI systems. Apply these approaches to understanding vulnerabilities in