We are a leading technology company at the forefront of natural language processing and artificial intelligence. We are dedicated to pushing the boundaries of language understanding and generation through our state-of-the-art Language Model (LLM). We are seeking a talented and experienced Principal LLM Researcher to lead our research efforts and drive innovation in the field of language modelling.
As a Principal LLM Researcher, you will be responsible for leading and shaping our LLM research agenda. You will work closely with a team of talented researchers and engineers to advance the capabilities of our language model and contribute to the development of groundbreaking AI applications.
Responsibilities
Research Leadership: Lead and manage a team of LLM researchers, guiding their work and fostering a culture of innovation and excellence in language modeling. Research Strategy: Develop and execute a research strategy to advance the capabilities and performance of our LLM, ensuring it remains at the cutting edge of natural language processing. Model Development: Collaborate with the research team to design, implement, and improve the architecture and algorithms of our language model. Benchmarking and Evaluation: Conduct rigorous evaluation and benchmarking of the LLM's performance, identifying areas for improvement and driving enhancements. Publication and Collaboration: Publish research findings in top-tier conferences and journals. Collaborate with academia and industry partners to stay at the forefront of AI research. Innovation: Explore new directions in language modeling, including multi-modal understanding, zero-shot learning, and ethical AI, and drive the integration of these innovations into our LLM. Mentorship: Provide mentorship and guidance to junior researchers, fostering their professional growth and development. Documentation: Maintain thorough documentation of research work, results, and methodologies. Requirements
Ph.D. in Computer Science, Natural Language Processing, or a related field. Proven track record of leading and managing research teams in language modeling or AI. Extensive experience in developing and improving large-scale language models. Strong publication record in top-tier conferences and journals in the field of NLP and AI. Proficiency in programming languages such as Python and deep learning frameworks like TensorFlow or PyTorch. Exceptional problem-solving skills and a passion for pushing the boundaries of AI research. Excellent communication and collaboration skills. Ethical and responsible AI research mindset.
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Research Leadership: Lead and manage a team of LLM researchers, guiding their work and fostering a culture of innovation and excellence in language modeling. Research Strategy: Develop and execute a research strategy to advance the capabilities and performance of our LLM, ensuring it remains at the cutting edge of natural language processing. Model Development: Collaborate with the research team to design, implement, and improve the architecture and algorithms of our language model. Benchmarking and Evaluation: Conduct rigorous evaluation and benchmarking of the LLM's performance, identifying areas for improvement and driving enhancements. Publication and Collaboration: Publish research findings in top-tier conferences and journals. Collaborate with academia and industry partners to stay at the forefront of AI research. Innovation: Explore new directions in language modeling, including multi-modal understanding, zero-shot learning, and ethical AI, and drive the integration of these innovations into our LLM. Mentorship: Provide mentorship and guidance to junior researchers, fostering their professional growth and development. Documentation: Maintain thorough documentation of research work, results, and methodologies. Requirements
Ph.D. in Computer Science, Natural Language Processing, or a related field. Proven track record of leading and managing research teams in language modeling or AI. Extensive experience in developing and improving large-scale language models. Strong publication record in top-tier conferences and journals in the field of NLP and AI. Proficiency in programming languages such as Python and deep learning frameworks like TensorFlow or PyTorch. Exceptional problem-solving skills and a passion for pushing the boundaries of AI research. Excellent communication and collaboration skills. Ethical and responsible AI research mindset.
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