Назад
10 дней назад

Research Scientist (LLM Foundation Models)

Формат работы
remote (только Hong_kong/Singapore)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Singapore/China
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Research Scientist (LLM Foundation Models) (LLM/reinforcement learning): Advancing reasoning and planning in large foundation models through data synthesis, supervised fine-tuning, reward modelling, reinforcement learning, and evaluation with an accent on System 2 reasoning, advanced decoding, and tool interaction. Focus on building agents and multi-agent systems, applying MCTS and A* decoding, and solving complex problems in large-scale model training.

Location: Hong Kong or Singapore. Remote-first, work-from-home arrangement; availability may vary depending on the role and team.

Company

Binance operates a global blockchain ecosystem covering cryptocurrency trading, finance, payments, education, research, and digital-asset services.

What you will do

  • Advance reasoning and planning capabilities across foundation-model development, including data acquisition, evaluation, supervised fine-tuning, reward modelling, and reinforcement learning.
  • Synthesize large-scale datasets through rewriting, augmentation, and generation for pretraining, SFT, and RL stages.
  • Solve complex tasks using System 2 thinking and advanced decoding strategies such as MCTS and A*.
  • Design and implement evaluation methodologies for foundation models at different development stages.
  • Enable models to use external tools, APIs, and code interpreters, and build agents and multi-agent systems for complex tasks.

Requirements

  • Research experience with reinforcement learning and large language models, with familiarity with large-scale model training.
  • Strong data structures and fundamental algorithm skills.
  • Fluency in Python, C++, or Java.
  • Experience with influential projects or papers in reinforcement learning, NLP, or deep learning.
  • Excellent problem analysis, problem-solving, communication, and collaboration skills.

Culture & Benefits

  • Opportunity to work on challenging projects shaping the future of finance.
  • Collaboration with global, user-focused teams in a flat organizational structure.
  • Autonomy in a fast-paced and innovative environment.
  • Career growth and continuous learning opportunities.
  • Competitive salary and company benefits.

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