What you'll be doing:

📍Design and implement multi-modal ML models that can understand and extract information from various document types (IDs, proof of address, etc.) 📍Fine tune LLMs for automated document processing and risk assessment. 📍Design model for ascertaining user onboarding risk and triggering 📍Know-Your-Customer and Enhance Due Diligence models. 📍Create real-time ML pipelines that can detect and prevent risks before they materialize 📍Work with experts to translate their domain knowledge into ML features and models 📍Build explainable ML systems that can justify their risk assessments 📍Collaborate with platform teams to deploy models at scale with high availability and low latency

What we look for in you:

📍8+ years of industry experience in Machine Learning (or PhD+5) 📍MS in Machine Learning, Computer Science, other technical field (PhD preferred) 📍Strong developer experience with ability to leverage auto-code generation techniques for ML and scalable distributed applications. 📍Strong foundation in modern ML techniques (DNNs, transformers, LLMs, classification) 📍Experience building and deploying production ML systems at scale. 📍Ability to balance ML model complexity with production requirements 📍Strong communication skills to work effectively with domain experts

The crypto industry is evolving rapidly, offering new opportunities in blockchain, web3, and remote crypto roles — don’t miss your chance to be part of it.