AI Research Scientist (LLM Reasoning & Post-Training) (Web3)
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Описание вакансии
TL;DR
AI Research Scientist (LLM Reasoning & Post-Training) (Web3): Researching and implementing advanced LLM reasoning, post-training methodologies, and agentic AI for live global crypto markets with an accent on model alignment and test-time compute scaling. Focus on translating cutting-edge research from NeurIPS/ICML into production-ready systems and applying reasoning to crypto-native data.
Location: Remote (Asia)
Company
is a leading global blockchain ecosystem and the world’s largest cryptocurrency exchange by trading volume and registered users.
What you will do
- Design and run experiments in reasoning model training, post-training alignment, and systematic model evaluation.
- Implement model variants, training pipelines (RLVR-based), and evaluation frameworks using PyTorch and Hugging Face.
- Synthesize and translate recent research from NeurIPS, ICML, ICLR, and ACL into testable ideas.
- Apply LLM reasoning to crypto-native data, including on-chain signals and market microstructure.
- Maintain rigorous experiment tracking and reproducibility standards using W&B.
- Partner with applied engineering to integrate research into production systems under real-world constraints.
Requirements
- Currently pursuing a Master's or PhD in Machine Learning, Computer Science, Mathematics, or a related field (graduating between 2026 to 2028).
- Strong fundamentals in Python and PyTorch.
- Solid grounding in transformer architectures, LLM pretraining, and reasoning-capable models.
- Ability to form independent research opinions and hypotheses.
- Must be based in Asia.
Nice to have
- Exposure to C++ or Rust.
- Proficiency with AI-assisted development tools in a research workflow.
Culture & Benefits
- Opportunity to shape the future of the world’s leading blockchain ecosystem.
- Collaborative, user-centric global organization with a flat structure.
- Autonomous work environment focusing on unique, fast-paced projects.
- Competitive salary and comprehensive company benefits.
- Flexible work-from-home arrangement.
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