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python pytorch transformers reinforcement learning llm📋 Description
- Design and run experiments on reasoning-model training for crypto contexts.
- Review NeurIPS/ICML/ICLR/ACL papers to guide research.
- Implement model variants and training with PyTorch and HuggingFace.
- Track experiments with Weights & Biases to ensure reproducibility.
- Explore LLM reasoning with on-chain signals and market data.
- Collaborate with engineers to productionize research in a 24/7 trading system.
🎯 Requirements
- Pursuing a Master’s or PhD in ML, CS, Math, or related field.
- Graduation expected in 2026, 2027, or 2028.
- Strong Python and PyTorch; C++ or Rust a plus; AI tooling fluency.
- Solid understanding of transformer architectures and LLM pretraining.
🎁 Benefits
- Shape the future with the world’s leading blockchain ecosystem.
- Collaborate with world-class talent in a flat, global org.
- Tackle fast-paced projects with autonomy in an innovative environment.
- Growth-focused, results-driven workplace with learning.
- Competitive salary and benefits.
- Work-from-home arrangement (varying by team).
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