[Hiring] Research Scientist @Binance

Role Description

We are seeking a highly skilled Research Scientist/Engineer to advance the reasoning and planning capabilities of large foundation models. In this role, you will enhance model performance across the entire development lifecycle—including:

• Data acquisition
• Supervised fine-tuning (SFT)
• Reward modelling
• Reinforcement learning

You will drive innovations in reasoning and decision-making by:

• Synthesizing large-scale, high-quality datasets through rewriting, augmentation, and generation techniques.
• Solving complex tasks using System 2 thinking and applying advanced decoding strategies such as MCTS and A*.
• Designing and implementing robust evaluation methodologies.
• Teaching models to interact with external tools, APIs, and code interpreters.
• Building agents and multi-agent systems capable of addressing sophisticated real-world problems.

Qualifications

• 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.
• Good communication and collaboration skills.

Requirements

• Capable of deeply addressing challenges in large-scale model training and application.
• Able to explore new technologies with the team and promote technological progress.

Benefits

• Shape the future of finance.
• Collaborate with world-class talent in a user-centric global organization with a flat structure.
• Tackle challenging projects in a fast-paced and innovative environment with autonomy.
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning.
• Competitive salary and company benefits.
• Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team).