Remote Research Scientist — Foundation Models & RL

Binance

United States

À distance

USD 150 000 - 230 000

Plein temps

Il y a 8 jours

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Avantages offerts par ce poste

Remote-first environment
Career growth opportunities
Competitive compensation
Autonomy

Résumé du poste

Binance is seeking a highly skilled Research Scientist/Engineer to advance reasoning and planning capabilities for large foundation models. You will drive data acquisition, supervised fine-tuning, reward modeling, and RL, while applying advanced decoding and robust evaluation methods.

You will teach models to interact with external tools, APIs, and code interpreters, and build agents and multi-agent systems to solve complex real-world problems in a remote-first, global environment.

Qualifications

  • Experience with RL, NLP, or large-scale model training is preferred.
  • Strong problem analysis and ability to address challenges in large-scale model training.
  • Fluency in Python or C++/Java and strong programming fundamentals.

Responsabilités

  • Reasoning and planning for foundation models across data, SFT, and RL stages.
  • Synthesize large-scale data via rewriting, augmentation, and generation.
  • Apply system 2 thinking and decoding strategies like MCTS and A*.
  • Develop evaluation methodologies and enable tools/APIs/code interpreters.
  • Build agents and multi-agent systems to tackle complex real-world tasks.

Connaissances

RL
LLM
Data structures
Algorithms
Python
C++/Java
Research experience
Communication

Outils

APIs
Code interpreters

Description du poste

Binance is seeking a highly skilled Research Scientist/Engineer to advance reasoning and planning capabilities for large foundation models. You will drive data acquisition, supervised fine-tuning, reward modeling, and RL, while applying advanced decoding and robust evaluation methods.

You will teach models to interact with external tools, APIs, and code interpreters, and build agents and multi-agent systems to solve complex real-world problems in a remote-first, global environment.

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