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 | product features | infrastructure
Required skills
SQL, production programming languages, machine learning, statistical evaluation, data pipeline construction, backend services development, real-time system integration, root-cause analysis, experimental design, adversarial behavior adaptation
Preferred skills
Experience with graph techniques, optimisation, system changes, high-volume batch and streaming data processing
Technologies
SQL, streaming data frameworks, batch processing frameworks, real-time decisioning systems
Responsibilities
Investigate fraud, abuse, account integrity, and platform-safety problems; Define success metrics balancing detection quality, user experience, latency, and operational cost; Build data pipelines and features from high-volume data; Convert successful prototypes into scalable production systems; Design experiments and monitoring to assess effectiveness and drift; Perform root-cause analysis as adversarial behaviours evolve
Seniority
Senior, hands-on IC
