Job Description
Join our team to contribute to cutting-edge AI initiatives aimed at automating blockchain intelligence and anomaly detection. This role offers the opportunity to drive machine learning research that enhances blockchain security while fostering sustainable growth in the decentralized finance (DeFi) ecosystem.
Key Responsibilities
- Design and implement innovative data collection strategies to identify network risks, monitor user behavior patterns, and track emerging market trends
- Develop scalable machine learning models for comprehensive risk assessment, predictive forecasting, and advanced anomaly detection systems
- Collaborate cross-functionally with engineering and product teams to deploy robust, production-ready ML models
- Generate actionable insights that directly improve DeFi security protocols and operational efficiency metrics
- Maintain expertise in the latest industry developments across machine learning applications and blockchain analytics methodologies
Qualifications
- Advanced degree in Computer Science, Data Science, or related quantitative field with ML/AI focus
- Proven experience developing production ML systems, preferably in blockchain/security domains
- Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch)
- Deep understanding of blockchain technology and decentralized systems architecture
- Excellent problem-solving abilities with a track record of delivering data-driven solutions
- Ability to translate complex technical concepts for cross-functional stakeholders
Additional Requirements
The ideal candidate will demonstrate passion for blockchain innovation and possess the ability to work in a fast-paced, research-oriented environment. We value professionals who combine technical excellence with business acumen to create meaningful impact in the Web3 security landscape.
