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are comfortable working with Git and API tooling, such as Postman. You have experience in machine learning, NLP/LLMs, multimodal systems, computer vision, or scraping. Having experience in data science
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the photonic IC with post-processing electronic ICs. Conducting system-level demonstrations for real neural-network tasks, such as NLP workloads, in collaboration with the University of Copenhagen. Publish
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The Tadeusz Manteuffel Institute History of the Polish Academy of Sciences | Poland | about 2 months ago
methods with historical research, including the co-creation and interpretation of analyses based on natural language processing (NLP); actively participating in the work of the research team and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
methods for factuality/hallucination testing, robustness, calibration, bias/fairness, and/or adversarial stress-testing. - Solid programming and ML/NLP engineering skills in Python and ideally modern deep
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
methods for factuality/hallucination testing, robustness, calibration, bias/fairness, and/or adversarial stress-testing. - Solid programming and ML/NLP engineering skills in Python and ideally modern deep
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
, robustness, calibration, bias/fairness, and/or adversarial stress-testing. - Solid programming and ML/NLP engineering skills in Python and ideally modern deep-learning stacks (e.g., PyTorch/JAX, HuggingFace
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Intelligence, or a closely related field Solid experience in one or more of the following: NLP, speech processing, human-AI interaction, or agentic-AI systems Strong programming skills in Python and familiarity
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Machine learning or NLP for classification, prediction, or multimodal data processing Experience with annotation tools, data pipelines, or AI-assisted labeling workflows Strong research communication skills
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or desire to design and implement experiments that probe model vulnerabilities. Experience with NLP/LLMs or generative AI, adversarial ML, software engineering practices (Git, reproducibility, experiment
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(NLP) with an interest in addressing social and ethical concepts; you have a focus on value alignment research, addressing bias, and fairness in AI; you have a socio-technical or design background