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Research Scientist - LLM Foundation Models

Binance
Singapore
Full time
Hybrid

Overview

Department

Data Science & Analytics

Job type

Full time

Compensation

Salary not specified

Location

Singapore

Company size

Start Up [ <10 employees ]

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Binance seeks a Research Scientist to enhance reasoning and planning in LLM foundation models, synthesize data, and implement robust evaluation methodologies. The role involves building 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.

    • 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.
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