Description
Grab is hiring a Senior Machine Learning Engineer to solve trust and risk problems end to end. The role covers fraud, abuse, account integrity, and platform-safety investigations; defining detection quality, latency, and operational-cost trade-offs; selecting ML, heuristic, rule, graph, optimization, or system solutions; building batch and streaming data pipelines and features; developing and validating proof-of-concept solutions; converting prototypes into scalable production systems; integrating solutions into real-time risk decisioning and offline detection workflows; and designing experiments and monitoring. The position requires at least four years of relevant software development and problem-solving experience, SQL and a production programming language, machine learning and statistical evaluation knowledge, experience with data-driven product or operational problems, production data-pipeline or decision-system experience, and comfort working across modelling, data engineering, and software engineering.
