Senior Data Scientist- LLM

Large Language Models (LLMs) are at the forefront of artificial intelligence advancements, with the ability to comprehend, generate, and process human language with exceptional accuracy. Drawing on extensive data, these models can perform a multitude of tasks, from text generation to intricate problem-solving, making them highly valuable across diverse industries. Additionally, the scope goes beyond LLMs to encompass multi-modal LLMs that combine video, image, audio, text, and code inputs, along with exploring cutting-edge AGI technologies.

Our company operates within specialized sectors like finance, web3, and cryptocurrency, necessitating the expertise of LLM Scientists to customize these robust models to our specific requirements. Our objective involves not only refining existing LLMs but also potentially constructing bespoke models tailored to address the particular challenges and opportunities within these sectors. Through leveraging multi-modal LLMs and state-of-the-art AGI technologies, we aim to enhance our capabilities further. In this role, as an LLM Scientist, you will drive AI innovation by developing and honing models with profound domain knowledge and advanced analytical abilities. Your contributions will empower us to tackle more intricate applications like:

• Crypto Market Analysis: Crafting models capable of analyzing and predicting market trends to offer insights and forecasts essential for informed decision-making in the dynamic realm of cryptocurrency.
• Smart Investment Advisors: Building intelligent systems delivering personalized investment guidance based on real-time data and sophisticated risk evaluation, supporting clients in navigating the financial landscape confidently.
• Advanced Data Interpretation: Leveraging your skills to augment the model's capacity in interpreting intricate financial data, regulatory changes, and market signals, ensuring our clients maintain their competitive edge.

Responsibilities:

• Drive foundational technology development for LLM, consistently refining comprehension, reasoning, and generation capabilities.
• Collaborate with cross-functional teams to integrate advanced LLM solutions into existing systems, ensuring smooth operations and maximum efficiency.
• Work closely with prompt engineers to enhance prompt design, enabling more precise and contextually relevant outputs from LLMs.
• Engage in pioneering research to stay abreast of the latest advancements in LLM and AGI technologies, applying these breakthroughs to solve complex business hurdles.
• Develop scalable and sturdy LLM frameworks adaptable to various domains, fueling innovation and upholding a competitive position in the market.

Requirements:

• Ph.D. degree essential, with notable research contributions in artificial intelligence conferences such as NeurIPS, ICML, ICLR, CVPR, ACL, OSDI, NSDI, SC, and SigMOD, specifically in machine learning, computer vision, natural language processing, and related domains.
• Proficient in programming, data structures, and algorithms, with proficiency in C/C++ or Python programming languages; candidates with accolades in programming competitions like ACM/ICPC, NOI/IOI, Top Coder, Kaggle, and similar platforms are preferred.
• Research background in machine learning, particularly in large language models (LLMs) and generative artificial intelligence.
• Excellent problem analysis and solving abilities, coupled with a profound interest in resolving complex challenges.
• Enthusiasm for technology, effective communication skills, and a collaborative team-oriented mindset.