Senior ML Engineer – Risk & Trust AI Systems

GrabTaxi Holdings Pte. Ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Term Life Insurance

Medical Insurance

GrabFlex

Parental leave

Birthday leave

LASA volunteering leave

Grabber Assistance Programme

FlexWork

Job summary

Grab is Southeast Asia's leading superapp. As a Senior Machine Learning Engineer, you will solve trust problems end to end, not just training models, investigate complex risk patterns, and build the required data and production components.

You will measure whether the solution works in the real world. You will design experiments, monitor false positives and drift, and help turn prototypes into scalable, observable production systems that integrate into real-time risk decisioning and offline

Qualifications

• At least 4 years of relevant experience in software development and problem solving.
• Proficiency in SQL and at least one production programming language.
• Working knowledge of machine learning and statistical evaluation.
• Experience using data to solve open-ended product or operational problems.
• Experience building production data pipelines, backend services, or decision systems.

Responsibilities

• Investigate fraud, abuse, account integrity, and platform-safety problems using data and domain knowledge.
• Define success metrics while balancing detection quality, user experience, latency, and operational cost.
• Determine whether a problem is best solved using ML, heuristics, rules, graph techniques, optimisation, or system changes.
• Build data pipelines and features from high-volume batch and streaming data.
• Develop proof-of-concept solutions and validate them against realistic baselines.
• Convert successful prototypes into scalable, tested, and observable production systems.
• Integrate solutions into real-time risk decisioning and offline detection workflows.
• Design experiments and monitoring to assess effectiveness, false positives, drift, and latest attack patterns.
• Perform root-cause analysis and adapt solutions as adversarial behaviours evolve.
• Improve the technical foundations that make future trust solutions faster and safer to deliver.

Skills

SQL

Programming language

Job description

Grab is Southeast Asia's leading superapp. As a Senior Machine Learning Engineer, you will solve trust problems end to end, not just training models, investigate complex risk patterns, and build the required data and production components.

You will measure whether the solution works in the real world. You will design experiments, monitor false positives and drift, and help turn prototypes into scalable, observable production systems that integrate into real-time risk decisioning and offline