We are Grabbing the job detail for you
Get to know the role :
Conceptualise and develop machine learning models to model Grab’s driver and passenger movements, preferences, behaviour and interactions
Develop and implement optimization algorithms to solve vehicle dispatch, routing and pooling problems
Build complex and detailed simulations from ground up to dynamically model Grab’s operations, driver and passenger movements, attributes and interactions
Drive product improvements and roll-out of new features
The day-to-day activities :
Deep dive into big data to conduct advanced statistical analyses
Design and build machine learning and optimisation algorithms efficiently
Integrate, simulate and test impact of algorithms and features on the overall system
Develop and execute necessary analyses, simulations or A / B tests to validate models and identify improvement opportunities
Store, retrieve and visualise results in a manner that facilitates required analyses
Effectively conceptualize analyses to business / product stakeholders
The must haves :
Minimum 2 years of relevant experience in one or more of the following :
Developing machine learning models for behaviour, preference or demand modelling
Developing optimization algorithms to solve large-scale network flow / combinatorial / stochastic problems
Developing large-scale complex discrete-event / agent-based simulation models
Ph.D. or Master’s in Computer Science, Electrical / Computer Engineering, Industrial & Systems Engineering, Operations Research, Mathematics / Statistics, or related technical disciplines
Strong fundamentals in one of the following : ML, optimisation or simulation, with background in the other areas
Proficient in statistical programming in languages such as Python and R; and strong working knowledge in RDBMS such as PostgresQL or MySQL
Excellent software development capabilities, preferably in C++, Java or Python; knowledge of GoLang would be an advantage
Self-motivated and independent learner who is willing to share knowledge with the team
Efficient and detail oriented time manager who thrives in a dynamic and fast-paced working environment
Really good to haves :
Experience in working with mobility, delivery or food data and use cases
Experience in parallel programming and multithreading
Get to know Grab :
Grab is more than just the leading ride-hailing and mobile payments platform in Southeast Asia. We use data and technology to improve everything from transportation to payments and financial services across a region of more than 620 million people.
We work with governments, drivers, passengers, merchants, and the community, to solve critical problems in Southeast Asia.
Grab began as a taxi-hailing app in 2012, but we have since extended our product platform to include GrabCar, GrabShare, GrabBike, GrabHitch, GrabExpress, GrabFood, GrabCoach, GrabShuttle, GrabCycle.
We recently launched our fintech platform GrabFinancial, which consists of payments, lending and insurance. Our latest addition is GrabVentures, an in-
house incubation platform. We are focused on pioneering new commuting and payment alternatives for drivers and passengers with an emphasis on convenience, safety, and reliability.
Currently, we offer services in 8 countries. Our R&D offices are in Singapore, Seattle, Beijing, Bangalore, Jakarta and Vietnam.
We aspire to unlock the true potential of Southeast Asia and look for like-minded individuals to join us on this ride.
If you share our vision of driving South East Asia forward, apply to join our team today.