Staff Machine Learning Engineer

Job ID: GPML06US

Position 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. Our AI teams are dedicated to building intelligent systems that protect our platform while ensuring a seamless experience for legitimate users. We are transforming traditional tasks such as manual document review and risk assessment into an automated, scalable system powered by state-of-the-art machine learning.

Responsibilities

• 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 models 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 years).
• MS in Machine Learning, Computer Science, or 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.

Nice to Have

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

Application Instructions

Please refer to the application portal for specific instructions.

Company Information

Information about the company is not provided in the original description.