Position Summary:
The Senior AI Scientist will focus on advanced research, development, and deployment of Large Language Model (LLM) technologies, emphasizing innovative approaches to LLM utilization, such as Retrieval-Augmented Generation (RAG), agent-based systems, and multimodal AI applications. The role requires leading complex technical initiatives and driving impactful results through cutting-edge techniques, without direct team management responsibilities.
Day-to-day responsibilities would include a combination of the following:
• Lead the technical design and implementation of sophisticated LLM-based systems, including RAG, agent-based architectures, and multimodal AI solutions.
• Oversee the lifecycle of LLM projects, from model pre-training and fine-tuning to evaluation and deployment, ensuring alignment with advanced use cases.
• Conduct in-depth research into emerging LLM technologies, staying at the forefront of advancements in the field.
• Design and execute prompt engineering strategies for optimal LLM performance and usability.
• Collaborate with cross-functional teams and domain experts to ensure technical excellence and application relevance.
• Analyze model performance, identify improvement opportunities, and contribute to the development of industry-leading LLM practices.
Apply for this role if you are:
• Have extensive experience in developing, fine-tuning, and deploying LLMs for complex applications.
• Are proficient in advanced LLM methodologies, such as RAG, agent systems, and multimodal applications.
• Possess strong expertise in frameworks like PyTorch, TensorFlow, and Hugging Face Transformers.
• Excel at solving complex challenges and applying cutting-edge LLM techniques to deliver innovative solutions.
• Thrive in research-driven environments and are skilled at identifying and utilizing the latest advancements in the LLM field.
Qualifications
• Master or Ph.D. in Computer Science, Applied Technology, or a related field from a leading institution.
• Proven success in managing high-impact AI projects, including contributions to large model development and deployment across various domains.
• Notable achievements in AI research, such as high-ranking positions in industry leaderboards, publications in top conferences, and contributions to industry standards.
• Multilingual proficiency and strong communication skills, with the ability to collaborate effectively in diverse and cross-functional teams.
• Experience with large-scale AI model evaluation and optimization in various domains.
• Achievements in AI research, including publications and contributions to industry standards.
EA License No. 15C7529
EA Personnel No. R1985185
