over 1 year ago
Singapore, SingaporeSenior
Responsibilities
- Architect and train custom foundation LLMs optimized for trading, compliance, and Web3 data.
- Build multi-agent systems combining search, reinforcement learning, and LLM reasoning.
- Collaborate on Web3 data-lake design, ETL pipelines, vector stores, and real-time feeds.
- Partner with product, compliance, and customer-support teams to deploy models in production.
- Identify AI-Web3 use cases, prototype MVPs, and guide them toward scale.
Requirements
- Master’s or PhD in machine learning, artificial intelligence, computer science, mathematics, or a related field.
- Publications in top conferences or journals such as ICLR, NeurIPS, or ACL on foundation LLMs, agent frameworks, or reasoning architectures.
- Deep expertise in reinforcement learning, reasoning algorithms, or related paradigms, with agentic-framework experience preferred.
- Fluency in Python and experience with PyTorch, TensorFlow, JAX, or similar frameworks.
- Ability to prototype new model architectures end-to-end.
- Enthusiasm for finance engineering, blockchain protocols, on-chain data, DeFi mechanics, or regulatory landscapes.
Categories
AI ResearchML Engineering
About Binance
Binance is the world’s leading blockchain ecosystem and cryptocurrency infrastructure provider with a product suite that includes the world's largest digital asset exchange and much more. Trusted by over 200 millions of users worldwide, the Binance platform is dedicated to increasing the freedom of money for users, and features an unmatched portfolio of crypto products and offerings, including: trading and finance, education, data and research, social good, investment and incubation, decentralization and infrastructure solutions, and more. Posts are not directed towards UK users.