Senior Software Engineer, Machine Learning - (Platform)

We're hiring for a Senior 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.

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:

• 5+ years of industry experience as a Machine Learning Engineer
• M.S in ML/CS/EE or BS with equivalent ML experience
• 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:

• Familiarity with regulatory requirements in financial services
• Knowledge of crypto/blockchain technology

Job #: GPML05US