Senior ML Engineer - Real-Time Trust & Risk AI

Grab; Singapore; On-site; SGD 180,000 - 260,000; Full time

Benefits offered by this job

Term Life Insurance

Medical Insurance

GrabFlex

Parental leave

Birthday leave

Love-all-Serve-all (LASA) volunteering

Grabber Assistance Programme

FlexWork differentiated hours

Job summary

Grab in Singapore is seeking a Senior Machine Learning Engineer to solve trust problems end to end. You will not limit yourself to training models—you will investigate complex risk patterns, build data and production components, and measure real-world impact.

You will design experiments, create data pipelines, production services, and real-time risk decisioning; choose ML, heuristics, or system changes as appropriate; and work across modelling, data engineering, and software boundaries to

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.
• Ability to articulate technical reasoning, assumptions, trade-offs, and experimental results.
• Comfortable operating across modelling, data engineering, and software engineering boundaries.

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

4+ years software development

SQL

Machine Learning knowledge

Data-driven problem solving

Production systems experience

Tools

Python

Spark

Airflow

Job description

Grab in Singapore is seeking a Senior Machine Learning Engineer to solve trust problems end to end. You will not limit yourself to training models—you will investigate complex risk patterns, build data and production components, and measure real-world impact.

You will design experiments, create data pipelines, production services, and real-time risk decisioning; choose ML, heuristics, or system changes as appropriate; and work across modelling, data engineering, and software boundaries to