Staff Machine Learning Engineer - Remote

Overview

We are hiring a Staff Machine Learning Engineer to revolutionize how we optimize our operations using ML and GenAI. This is a unique opportunity to apply the latest advances in ML and GenAI to real-world problems that directly impact millions of users and the future of digital finance.

In Short

• 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

Requirements

• 8+ years of industry experience in Machine Learning (or PhD+5)
• MS in Machine Learning, Computer Science, other technical field (PhD preferred)
• 10x developer 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

Benefits

• Background in fraud detection or risk modeling
• Familiarity with regulatory requirements in financial services
• Knowledge of crypto/blockchain technology