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.