Staff ML Scientist
Core
Design and develop next-generation AI and ML models for transaction monitoring, fraud detection, and risk mitigation in the global payments ecosystem.
Role type
Staff ML Scientist (Generative AI & Risk)
Builds
Production ML/AI models for fraud signals, intent detection, stablecoin risk scoring, and agentic commerce.
Domain
Financial Services / Payments / Risk Management
Deliverable
production ML models
Required skills
Parameter-efficient fine-tuning (LoRA/QLoRA), LLM distillation, classification as generative tasks, rapid prototyping, full lifecycle model deployment, patent filing, mentoring technical teams
Preferred skills
Deep learning fundamentals, contrastive learning, domain adaptation, PySpark, PyTorch, TensorFlow, GPU compute environments
Technologies
Python, PySpark, PyTorch, TensorFlow, LLMs
Responsibilities
Define high-value problems beyond payments, fine-tune open-weight LLMs to reduce cost, frame classification problems as generative tasks, lead ML PoCs for risk scoring and merchant discoverability, design and deploy SOTA models, lead future-forward AI/ML research, integrate models into production pipelines, mentor scientists using Generative AI tools
Seniority
Staff, hands-on IC with strategic influence
