Staff Machine Learning Engineer (Referrals)

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.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 materializeWork with experts to translate their domain knowledge into ML features and modelsBuild explainable ML systems that can justify their risk assessments Collaborate with platform teams to deploy models at scale with high availability and low latencyWhat 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)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 requirementsStrong communication skills to work effectively with domain expertsNice to have:Background in fraud detection or risk modelingFamiliarity with regulatory requirements in financial servicesKnowledge of crypto/blockchain technologyJob ID: GPML06USOriginally posted on Himalayas

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