Senior Machine Learning Engineer - Trust Platform

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

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Know your Role

As a Senior Machine Learning Engineer, you will solve trust problems end to end. You will not limit itself to training models. You will investigate complex risk patterns and determine the simplest solution. Additionally, you will build the required data and production components. Finally, you will measure whether the solution works in the real world.

You will

• 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.

You will need

• 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.

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For at Grab

We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.