Company Description

About Grab and our workplace

Grab is Southeast Asia’s leading superapp. We are dedicated to improving the lives of millions of users across the region by providing them everyday services such as deliveries, mobility, financial services, enterprise services and others. More than that, we provide the opportunity for them to have a better life. And that aspiration starts inside Grab because we believe in a seamless blend of work and home life, making every aspect of life better for all.

Guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles—the 4Hs: Heart, Hunger, Honour and Humility—we work to create economic empowerment for the people of Southeast Asia. With our unwavering commitment to our values, we believe that we're more than a service provider; we're agents of positive change.

Job Description

Get to know Fulfillment

The Fulfillment tech family is one of the pillars enabling 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 sophisticated machine learning techniques to solve hundreds of millions of requests per day. Our mission is to offer the best-in-class products and experiences to our driver partners as to increase adoption and engagement of our services. Improve driver partner opportunities and efficiency in order to fulfill consumer orders without fail, rain or shine. And to create efficient marketplaces by determining an optimal price that is both sustainable and loved by our partners and consumers.

Get to Know the Team

At the Fulfillment Machine Learning Engineering team, we are trying to solve challenging problems in the marketplace that involve dispatch, dynamic pricing, and supply demand management.

Get to Know the Role

We are seeking a passionate Senior Machine Learning Engineer who has experience with big data processing and machine learning. This is a hands-on role aimed at building a forecasting and anomaly detection platform that will handle hundreds of forecasts each day and used by many teams at Grab. This role is reporting into the Senior Engineering Manager and is based onsite in Singapore.

The Day-to-Day Activities:

• Architect and develop our forecasting platform by creating new features and SDKs that will be used by internal services and operational teams.
• Collaborate with product analysts, managers and data science teams to define, prototype and build the right forecast signals to improve decision making of Grab's Marketplace.
• Develop and deploy state-of-the-art machine learning models that provide accurate forecasts, anomaly detection of our critical business metrics such as allocation rate, demand and supply.
• Manage uptime and meet the SLAs of our forecast signals to serve our internal users by adopting on-call schedules, implementing proper application performance metrics and setting up failure detection alerts.
• Scale our forecasting platform to process a growing number of metrics, find opportunities to improve and optimize the workloads to ensure their performance levels can provide continuous accurate, reliable and timely delivery of key metrics.
• Engage in service capacity and demand planning, software performance analysis, costing, tuning and optimization.
• Participate in code and design reviews to maintain our high development standards.
• Conduct literature reviews and implement published forecasting and anomaly detection techniques.

Qualifications

The Must-Haves:

• A degree in Computer Science, Software Engineering, Information Technology or related fields.
• 3+ years of experience in software engineering for Large Scale Machine Learning Systems.
• Familiarity with the concept of MLOps Lifecycle (Data Preparation, Training, Evaluation, Serving)
• Proficiency in ML Modeling with ML Frameworks such as Tensorflow, PyTorch
• Proficiency in Python
• Proficiency in Apache Flink, Spark, Airflow and at least one NoSQL database in a large scale environment.
• Strong Computer Science fundamentals in algorithms and data structures.
• Possess excellent communication, sharp analytical abilities with proven design skills, able to think critically of the current system in terms of growth and stability.

The Nice-to-Haves:

• Masters or PHD in Computer Science or relevant field of study
• Experience in the following languages Scala/Java/Golang/C++
• Experience in developing machine learning models for forecasting
• Experience in anomaly detection techniques such as change point detection, unsupervised learning
• Experience in container management and orchestration tools like Kubernetes
• Well-versed in setting up continuous integration and deployment for big data pipelines or other projects.

Additional Information

Benefits at Grab:

We care deeply about your well-being and are committed to supporting you every step of the way. Here are some of the global benefits we offer:

• Protect and provide for your loved ones with peace of mind, knowing we have your back with Term Life Insurance and comprehensive Medical Insurance.
• Craft a benefits package that suits your unique needs and aspirations with GrabFlex, because we believe in empowering you to thrive.
• Embrace the magic of new life and create lasting memories with your family through Maternity and Paternity Leave.
• Life can be overwhelming, but you're never alone. Our confidential Grabber Assistance Programme is here to guide and uplift you and your loved ones through life's challenges.
• Your well-being is our priority. Benefit from our holistic well-being initiatives through Wellbeing@Grab, including health programmes, informative webinars, and vibrant carnivals.
• Achieve a harmonious work-life balance with our FlexWork arrangements, allowing you to adapt and thrive in your personal and professional life.

We’ve got many different benefits hyper localised in each country. Speak to your recruiter during your interview to find out more.

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. If you require accommodations to fully participate in the recruitment process, you are encouraged to include your request(s) when applying.

We deliver the greatest impact and ideas when we bring together diverse perspectives. It is what enables us to spread opportunities to Grabbers and our partners. It’s not a box-ticking exercise; it’s who we are.