155 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" positions at Carnegie Mellon University
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; 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
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systems sufficient to maintain credibility with engineering teams (deep coding expertise not required). Experience navigating complex stakeholder ecosystems involving multiple contractors, oversight
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software-intensive systems sufficient to maintain credibility with engineering teams (deep coding expertise not required). Experience navigating complex stakeholder ecosystems involving multiple contractors
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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
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or develop applications or systems programs from detailed specifications. Code, test, and debug programs. Develop and maintain technical documentation. Flexibility, excellence, and passion are vital qualities
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-level (assistant) machine learning engineer in the AI for Autonomy Lab, you will identify, shape, apply, conduct, and lead engineering research that matches critical U.S. government needs. The AI
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, 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
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systems sufficient to maintain credibility with engineering teams (deep coding expertise not required). Experience navigating complex stakeholder ecosystems involving multiple contractors, oversight
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curious to deliver work that matters, your journey starts here! In a region booming with opportunities, CMU is the only U.S.-based research university offering its master’s degrees with a full-time faculty
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Reinforcement Learning frameworks such as Areal or SkyRL. Familiarity with coding agentic frameworks (e.g., OpenHands, SWE-Agent) and software engineering benchmarks (e.g., SWE-Bench). A combination of education