The opportunity
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed,…
What you'll do
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.
What they're looking for
- 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.
