Senior Machine Learning Engineer (Simulation) at Grab

Get to know the Team The 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. Grab is Southeast Asia's 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.   Get to know the Role Reporting 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's 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's marketplace and deploy them at scale. The Critical Tasks You Will Perform • Architect and develop our simulation platform to simulate the response from the marketplace that involves different types of services that Grab is providing • Work with data scientists and engineers to design simulation flow that would support their Platform Policy designs and optimisations • Collaborate with data scientists and engineers to design simulation SDKs to improve the user experience of the simulation platform • Work with Data Scientists to integrate and build feedback loops to run policy search using the simulation platform • Design and scale the simulation platform to run hundreds and thousands of simulations per day • Contribute to service capacity and demand planning, software performance analysis, costing, tuning and optimization. • Participate in code and design reviews to maintain our high development standards.