Senior Machine Learning Engineer - Trust PlatformFull-timeCompany DescriptionAbout Grab and Our WorkplaceGrab 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.Job DescriptionKnow your RoleAs 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 willInvestigate 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.QualificationsYou will needAt least 4 years of relevant experience in software development and problem solvingProficiency 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.Additional InformationLife at GrabWe care about your well-being at Grab, here are some of the global benefits we offer:We have your back withTerm Life Insuranceand comprehensiveMedical Insurance.WithGrabFlex,create a benefits package that suits your needs and aspirations.Celebrate moments that matter in life with loved ones throughParentalandBirthday leave, and give back to your communities throughLove-all-Serve-all (LASA)volunteering leaveWe have a confidentialGrabber Assistance Programmeto 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 hoursWhat We Stand For at GrabWe 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.By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy applyJob LocationGoogle Maps requires functional cookies to be enabledI'm interestedI'm interestedPrivacy Notice
