Research Scientist - LLM Foundation Models
Key Skills for This Role
Full Job Posting
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.
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.
About Binance
Binance is one of the world's largest cryptocurrency exchanges by trading volume, providing a platform for trading digital assets and blockchain services.
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