Principal Machine Learning Engineer (Ads)

Get to Know the Team Join our dynamic Ads Serving Team, where we are dedicated to ensuring that the right ads reach the right audience at the right moment. We lead algorithm improvements, focusing on enhancing ads inventory efficiency to maximise value for both advertisers and users. We take pride in managing the entire ads backend tech stack, which is designed to handle high query per second (QPS) loads, ensuring seamless performance. Our work is not just about maintaining systems; we excel at solving complex challenges that arise in the world of digital advertising. From developing advanced ads bidding strategies and refining prediction models to designing innovative auction systems and improving ads recall, our team tackles a variety of stimulating problems every day. If you're passionate about technology in the advertising landscape, you will find a home with us! Get to Know the Role As a Principal Machine Learning Engineer, you will report into the Head of Engineering and work onsite in Grab One North Office. This is a hands-on role involving building large-scale machine learning, control theory and optimisation solutions. You will build data-driven technologies to drive real-world impact in Grab's ads business that consists of hundreds of thousands of consumers and merchants. The Critical Tasks You Will Perform You will partner with product teams and other engineers to solve Ads business problems through Machine Learning. You will set the direction and goals for a sizeable team, concerning project impact, Machine Learning system design, and Machine Learning excellence. You will re-evaluate the tradeoffs of already shipped features/ Machine Learning systems, and you can drive large efforts across multiple teams to reduce technical debt, designing from first principles. You will lead a 10 people team from a technical perspective to develop Machine Learning best practices and influence engineering culture. You will be the go-to person to escalate the most complex online/ production performance and evaluation issues, that require an in-depth knowledge of how the machine learning system works with systems around it. Code deliverables that will tie the Machine Learning solutions you develop to our ad delivery stack. You will mentor junior machine learning engineers and provide insightful feedback. J-18808-Ljbffr

Location: Singapore, SG

Posted Date: 5/11/2025