Senior Machine Learning Engineer - Trust Platform
Core
Solve trust problems end-to-end by investigating risk patterns, building data pipelines, and deploying production systems for fraud and platform safety.
Role type
Senior Machine Learning Engineer (Trust & Risk)
Builds
Scalable, tested, and observable production systems for real-time risk decisioning and offline detection workflows.
Domain
Fintech / Superapp / Fraud Detection / Platform Safety
Deliverable
production ML models
Required skills
SQL, production programming languages, machine learning, statistical evaluation, data pipeline construction, backend service development, experimental design, root-cause analysis, system design
Preferred skills
Experience with graph techniques, optimisation, real-time streaming data processing
Technologies
SQL, streaming data, batch data, real-time decisioning systems
Responsibilities
Investigate fraud, abuse, account integrity, and platform-safety problems; Define success metrics balancing detection quality, user experience, latency, and cost; Build data pipelines and features from high-volume data; Convert prototypes into scalable production systems; Design experiments and monitoring to assess effectiveness and drift; Perform root-cause analysis as adversarial behaviours evolve.
