470 computer-programmer-"https:"-"https:"-"https:"-"https:" positions at Carnegie Mellon University
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, MS with 8+ years, or PhD with 5+ years in data science, statistics, machine learning, computer science, or another quantitative field. • Proficiency in statistical modeling and data science using R
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with Department of War and Intelligence Community preferred Requirements BS in Robotics, Computer Science, Machine Learning, Electrical Engineering, or related discipline with ten (10) years
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for the Assistant AI Security Researcher role. Originally created in response to one of the first computer viruses -- the Morris worm – in 1988, CERT has remained a leader in cybersecurity research, improving
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employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your
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machine learning methods. Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision
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machine learning methods. Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision
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security community to translate the “recently possible” in AI into reliable mission and warfighting capabilities. Key Responsibilities Design, implement, and evaluate state‑of‑the‑art ML models (computer
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About the SEI At the SEI, you are a part of a community that works with the highest levels of government and industry to secure the nation’s critical infrastructure, improve mission-critical systems, and advance software. You’ll have the opportunity to work with both industry and academia in an...
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machine learning methods. Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision
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models such as GPT and LLaMA, designing and deploying agentic workflows, as well as apply and advance traditional ML research and engineering across domains such as natural language processing, computer