Senior Staff Machine Learning Engineer, Trust
Core
Define and execute long-term ML technical vision and strategy for the Trust organization, building production ML systems to protect the community from fraud and ensure safety.
Role type
Senior Staff Machine Learning Engineer (Trust & Risk)
Builds
Scalable production ML systems, anomaly detection models, continuous risk evaluation models, and Agentic AI solutions for fraud prevention.
Domain
Trust & Risk, Fraud Detection, Generative AI
Deliverable
production ML models
Required skills
Applied Machine Learning, LLMs, Agentic AI, Python/Scala/Java/C++, Data Engineering, Anomaly Detection, Neural Networks, Gradient Boosted Trees, A/B Testing, Feature Engineering, Kubernetes
Preferred skills
Trust and Risk domain experience, Multimodality
Technologies
AgenticAI, Tensorflow, PyTorch, Kubernetes
Responsibilities
Define and execute long-term ML technical vision and strategy; Serve as a technical leader and mentor to other engineers; Drive large-scale, multi-quarter ML initiatives; Build and improve cutting-edge ML models for product and operational use cases; Collaborate with cross-functional partners to prioritize requirements and quantify impact; Work with trust defense teams to tackle fraud attacks; Hands-on develop, productionize, and operate ML models and pipelines at scale.
Seniority
Senior Staff, hands-on IC with strategic leadership
