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Senior Machine Learning Engineer (Simulation)

Grab · Singapore

Other EngineeringSenior LevelQuick applyfull-timeabout 1 month ago

About The Role

{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Machine Learning Engineer (Simulation)","description":"\u003Cp\u003E\u003Cstrong\u003EAbout Grab and Our Workplace\u003C/strong\u003E\u003C/p\u003E\u003Cp\u003EGrab is Southeast Asia\u0027s leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we\u0027ve 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.\u003C/p\u003E\u003Cp\u003E\u003Cstrong\u003EGet to know the Team\u003C/strong\u003E\u003C/p\u003E\u003Cp\u003EThe Fulfilment Tech family is one of the pillars allowing Grab to out-serve our consumers and partners in different businesses and marketplaces across Southeast Asia. We are working on high-throughput, real-time distributed systems that use machine-learning techniques to solve hundreds of millions of requests per day. Our mission is to offer the best products and experiences to our driver partners to increase the adoption and engagement of our services. Improve driver partner opportunities and efficiency to fulfil consumer orders without fail, rain or shine. And to create efficient marketplaces by determining a price that is both sustainable and loved by our partners and consumers.\u003C/p\u003E\u003Cp\u003EGrab is Southeast Asia\u0027s leading super-app. We provide everyday services such as deliveries, mobility, financial services, enterprise services and others to millions of users across the region. At the fulfilment machine engineering team, we are trying to solve challenging problems in the marketplace that involve dynamic pricing, supply and demand management. We are looking for senior machine learning engineers to join the team to help us make that vision a reality by developing and refining cutting-edge reinforcement learning models and simulation platforms.\u003C/p\u003E\u003Cp\u003E\u0026#xa0;\u003C/p\u003E\u003Cp\u003E\u003Cstrong\u003EGet to know the Role\u003C/strong\u003E\u003C/p\u003E\u003Cp\u003EReporting into the Senior Engineering Manager and based in Grab Singapore One North office, this is a hands-on role involving building large-scale simulation platforms. You will build a digital twin of Grab\u0027s marketplace that consists of tens of thousands of consumers, drivers, and merchants. Furthermore, you will develop reinforcement learning, optimization and control models to solve business problems inside Grab\u0027s marketplace and deploy them at scale.\u003C/p\u003E\u003Cp\u003E\u003Cstrong\u003EThe Critical Tasks You Will Perform\u003C/strong\u003E\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EArchitect and develop our simulation platform to simulate the response from the marketplace that involves different types of services that Grab is providing\u003C/li\u003E\u003Cli\u003EWork with data scientists and engineers to design simulation flow that would support their Platform Policy designs and optimisations\u003C/li\u003E\u003Cli\u003ECollaborate with data scientists and engineers to design simulation SDKs to improve the user experience of the simulation platform\u003C/li\u003E\u003Cli\u003EWork with Data Scientists to integrate and build feedback loops to run policy search using the simulation platform\u003C/li\u003E\u003Cli\u003EDesign and scale the simulation platform to run hundreds and thousands of simulations per day\u003C/li\u003E\u003Cli\u003EContribute to service capacity and demand planning, software performance analysis, costing, tuning and optimization.\u003C/li\u003E\u003Cli\u003EParticipate in code and design reviews to maintain our high development standards.\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E\u003Cstrong\u003EWhat Essential Skills You Will Need\u003C/strong\u003E\u003C/p\u003E\u003Cp\u003ETo perform the tasks above, you will need:\u003C/p\u003E\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EAt least 2 years building production machine learning systems\u003C/strong\u003E that serve live traffic and require you to handle model deployment, monitoring, and maintenance\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EAt least 2 years developing large-scale simulation environments\u003C/strong\u003E modelling complex systems with multiple working entities (e.g., marketplaces, logistics networks, or agent-based systems)\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EProfessional-level coding in Scala and Python\u003C/strong\u003E to build the simulation platform core and ML model pipelines\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EProfessional-level coding in Golang\u003C/strong\u003E to develop microservices that handle real-time marketplace data streams\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EExperience with functional programming frameworks\u003C/strong\u003E (such as Cats Effect or similar) to build concurrent, non-blocking systems that handle high-throughput data processing\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EExperience with at least one ML framework\u003C/strong\u003E (TensorFlow or PyTorch) to implement reinforcement learning models for marketplace optimization\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EExperience with distributed data processing frameworks\u003C/strong\u003E (such as Spark or Ray) to grow simulations across compute clusters and process large-scale training data\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E\u003Cstrong\u003ELife at Grab\u003C/strong\u003E\u003C/p\u003E\u003Cp\u003EWe care about your well-being at Grab, here are some of the global benefits we offer:\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EWe have your back with \u003Cstrong\u003ETerm Life Insurance \u003C/strong\u003Eand comprehensive \u003Cstrong\u003EMedical Insurance.\u003C/strong\u003E\u003C/li\u003E\u003Cli\u003EWith \u003Cstrong\u003EGrabFlex, \u003C/strong\u003Ecreate a benefits package that suits your needs and aspirations.\u003C/li\u003E\u003Cli\u003ECelebrate moments that matter in life with loved ones through \u003Cstrong\u003EParental\u003C/strong\u003E and \u003Cstrong\u003EBirthday leave\u003C/strong\u003E, and give back to your communities through \u003Cstrong\u003ELove-all-Serve-all (LASA)\u003C/strong\u003E volunteering leave\u003C/li\u003E\u003Cli\u003EWe have a confidential \u003Cstrong\u003EGrabber Assistance Programme\u003C/strong\u003E to guide and uplift you and your loved ones through life\u0027s challenges.\u003C/li\u003E\u003Cli\u003EBalancing personal commitments and life\u0027s demands are made easier with our FlexWork arrangements such as differentiated hours\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E\u003Cstrong\u003EWhat We Stand For at Grab\u003C/strong\u003E\u003C/p\u003E\u003Cp\u003EWe 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.\u003C/p\u003E","identifier":"REF5152A","mainEntityOfPage":"https://www.grab.careers/en/jobs/744000124342209/senior-machine-learning-engineer-simulation/","url":"https://www.grab.careers/en/jobs/744000124342209/senior-machine-learning-engineer-simulation/","datePosted":"2026-05-04","employmentType":"FULL_TIME","hiringOrganization":{"@type":"Organization","name":"Grab","url":"https://www.grab.com/sg/","logo":"https://www.grab.careers/images/logo.svg"},"industry":"Engineering","jobLocation":{"@type":"Place","name":"Singapore","address":{"@type":"PostalAddress","name":"Singapore","addressCountry":"Singapore","addressLocality":"Singapore","streetAddress":"Grab One North"}}}

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