We are Grabbing the job detail for you
Get to know the role :
Identify business-wide problems and be responsible for guiding the project team in solving problems using a combination of Big data, Machine learning and Operations Research techniques
Build, validate, test, and deploy machine learning / deep learning models for behaviour, recommendation or demand modelling
Develop and implement optimization algorithms to solve vehicle dispatch, routing and pooling problems
Drive product improvements and roll-out of new features
The day-to-day activities :
Manage multiple concurrent projects and drive them to successful completion
Communicate problem formulation, solution, analyses and insights to team members and stakeholders
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
The must haves :
Minimum 4 years of relevant experience in one or more of the following :
Developing machine learning / deep learning models for behaviour, preference or demand modelling
Developing optimization algorithms to solve large-scale network flow / combinatorial / stochastic problems
Deploy and maintain scalable machine learning infrastructure
Ph.D. or Master’s in Computer Science, Computer Engineering, Mathematics, Statistics, Operations Research, or related technical disciplines
Strong fundamentals in at least two of the following : Machine Learning, Recommender Systems, Natural Language Processing, Optimisation or Architecture, with background in the other areas
Proficient in one or more of the following programming languages : Python, R, Scala, C++, Java; knowledge of GoLang would be an advantage
Experience with machine learning framework (scikit-learn, Spark MLlib etc)
Detail-oriented and efficient time manager who thrives in a dynamic and fast-paced working environment
Able to present complex subjects clearly and coherently to non-domain experts
Really good to have :
Experience in working with food delivery data and use cases
Experience in parallel programming and multithreading
Experience in large scale routing algorithms
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.