Principal Machine Learning Engineer (Marketplace Simulation)
Singapore, Singapore
Grab
Grab is Southeast Asia’s leading superapp. It provides everyday services like Deliveries, Mobility, Financial Services, and More.Company Description
About Grab and Our Workplace
Grab 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 Description
Get to Know the Team
The Fulfilment Tech family forms a key pillar at Grab, dedicated to delivering services for our consumers and partners across Southeast Asia. You will be part of a team working with cutting-edge technology, developing high-throughput, real-time distributed systems that leverage machine learning to process hundreds of millions of requests daily. Our mission is to enhance driver opportunities and efficiency, ensuring consumer orders are fulfilled seamlessly while creating optimal marketplaces with sustainable and favoured pricing models.
Get to Know the Role
In this hands-on role, you will build large-scale simulation platforms, creating a digital twin representation of Grab's vibrant marketplace encompassing thousands of consumers, drivers, and merchants. You will design and implement advanced models using reinforcement learning and optimization techniques to solve critical business challenges and deploy these solutions at scale.
You should understand software development lifecycle and engineering best practices, coupled with substantial experience in production-ready machine learning systems. You should excel in constructing accurate simulations of complex systems and have expertise in areas like regression, classification, and real-time streaming data analysis.
You are an agile thinker with a passion for innovation and enjoys problem-solving in a rich technical landscape. You will report into the Senior Engineering Manager and work onsite in Grab One North Singapore office. We look forward to having you join our dynamic team!
The Critical Tasks You Will Perform
You will:
- Build and architect a robust platform that models real-world marketplace behaviour across Grab's diverse services.
- Set and drive the integration of the Simulation Platform into product development cycles within Fulfilment Tech.
- Establish design guidelines for components in the Fulfilment System to integrate with the simulation platform.
- Create tools for comprehensive "What-If" scenario analysis to support data-driven decisions regarding product development.
- Collaborate with data scientists and engineers to design workflows that drive platform policy designs and optimizations.
- Develop SDKs to enhance user experience on the platform.
- Partner with data scientists to build feedback loops, allowing policy’s analysis and implementation using simulations.
- Design and scale the simulation platform to conduct numerous simulations daily, while identifying and resolving performance bottlenecks.
- Handle software performance analysis, capacity, demand planning, costing, tuning, and optimization.
- Participate in reviews to ensure adherence to high development standards.
Qualifications
What Essential Skills You Will Need
- You have at least 10 years of experience in software engineering for machine learning services or large-scale simulation environments.
- You are experienced in Scala, Python, and experience with Golang.
- You have experience with Functional Programming and frameworks like CatsEffect.
- You have in-depth understanding of engineering best practices and design patterns, with skills in creating maintainable and testable code.
- You can transform business problems into machine learning and AI projects.
- You have experience in developing and productionizing ML pipelines using technologies like Airflow and MLFlow.
- You are competent in using ML frameworks such as TensorFlow or PyTorch.
- You have experience with big data frameworks like Spark or Ray.
Additional Information
Life at Grab
We care about your well-being at Grab, here are some of the global benefits we offer:
- We have your back with Term Life Insurance and comprehensive Medical Insurance.
- With GrabFlex, create a benefits package that suits your needs and aspirations.
- Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
- We have a confidential Grabber Assistance Programme to 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 hours
What We Stand For at Grab
We 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Big Data Classification Data analysis Distributed Systems Engineering Excel Golang Machine Learning MLFlow Pipelines Python PyTorch Reinforcement Learning Scala Spark Streaming TensorFlow
Perks/benefits: Career development Medical leave Parental leave
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