AI Researcher

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Requirements:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Master's degree with exceptional research experience will be considered)
• Strong publication record in top-tier AI conferences (e.g., NeurIPS, ICML, ACL, ICLR)
• Deep understanding of machine learning principles, particularly deep learning and transformer-based architectures
• Expertise in large language models, generative AI, and natural language processing
• Experience with machine learning frameworks like PyTorch or TensorFlow
• Strong programming skills in Python and related ML/data science libraries
• Excellent analytical and mathematical skills, including statistics and linear algebra
• Experience with large-scale model training and distributed computing

Responsibilities:

• Conduct cutting-edge research in natural language processing, language models, and generative AI to advance the state-of-the-art in these fields
• Design, develop, and implement novel machine learning algorithms and techniques specifically for LLMs
• Analyze and interpret complex datasets, particularly in text and language domains
• Collaborate with cross-functional teams including engineers, data scientists, and product managers to translate research into practical applications
• Stay current with the latest AI research, particularly in LLMs, by reading academic papers, attending conferences, and engaging with the research community
• Publish research findings in top-tier academic journals and conferences, enhancing iGenius reputation as a leader in AI research
• Develop prototypes to demonstrate the feasibility and potential of new AI approaches
• Mentor junior researchers and contribute to the growth of our research team
• Contribute to the responsible development of AI by addressing issues of bias, fairness, and transparency in language models

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