Binance - Research Scientist

Hybrid - Asia-Pacific *6mo ago

In Office APAC Cryptocurrency Artificial Intelligence Nonprofit Data Analytics Research Scientist Crypto BD Java Python C++MBA

Requirements

• Proficiency in research experience with RL, LLM, and familiarity with large-scale model training is preferred. • Proficiency in data structures and fundamental algorithm skills, and fluency in Python or C++/Java. • Experience with influential projects or papers in RL, NLP, or Deep Learning is preferred. • Excellent problem analysis and problem-solving skills, capable of deeply addressing challenges in large-scale model training and application. • Good communication and collaboration skills, with the ability to explore new technologies with the team and promote technological progress. • Shape the future with the world’s leading blockchain ecosystem • Collaborate with world-class talent in a user-centric global organization with a flat structure • Tackle unique, fast-paced projects with autonomy in an innovative environment • Thrive in a results-driven workplace with opportunities for career growth and continuous learning • Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Responsibilities

• Reasoning and planning for foundation models: Enhance reasoning and planning throughout the entire development process, including data acquisition, model evaluation, SFT, reward modeling, and reinforcement learning, to improve overall performance. • Synthesize large-scale, high-quality data using methods such as rewriting, augmentation, and generation to improve the capabilities of foundation models in various stages (pretraining, SFT, RL). • Solve complex tasks using system 2 thinking and leverage advanced decoding strategies such as MCTS, A*. • Investigate and implement robust evaluation methodologies to assess model performance at various stages. • Teach foundation models to use tools, interact with APIs, and code interpreters. Build agents and multi-agent systems to solve complex tasks.