Binance is hiring a Research Scientist - LLM Foundation Models in Engineering — Taiwan, Taipei. The overview below is synthesized from the employer posting on jobs.lever.co: factual requirements and scope are preserved, but prose is rewritten with editorial context. Verify details and apply via the employer link.
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, deep liquidity, and an unmatched portfolio of digital-asset products.
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, deep liquidity, and an unmatched portfolio of digital-asset products.
About the Role
Day-to-day scope for the Research Scientist - LLM Foundation Models as described in the posting:
The listing frames the Research Scientist - LLM Foundation Models at Binance as a hands-on product role. In this role, you will enhance model performance across the entire development lifecycle—including data acquisition, supervised fine-tuning (SFT), reward modelling, and reinforcement learning—while driving innovations in reasoning and decision-making. You will synthesise large-scale, high-quality datasets through rewriting, augmentation, and generation techniques to strengthen foundation models du
About the Role
Day-to-day scope for the Research Scientist - LLM Foundation Models as described in the posting:
The listing frames the Research Scientist - LLM Foundation Models at Binance as a hands-on product role. In this role, you will enhance model performance across the entire development lifecycle—including data acquisition, supervised fine-tuning (SFT), reward modelling, and reinforcement learning—while driving innovations in reasoning and decision-making. You will synthesise large-scale, high-quality datasets through rewriting, augmentation, and generation techniques to strengthen foundation models du
Responsibilities
Day-to-day scope for the Research Scientist - LLM Foundation Models as described in the posting:
- 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
Experience and skills the team lists as required:
- 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.
Why Binance
- 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)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
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