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Lead Algorithm Engineer - Search & Recommendation

PayNot listed
LocationSingapore
TypeFull Time
LevelMid Level
Posted6mo ago



What You Will Do




  • Design and implement algorithms for search, recommendation, or advertising systems to drive discovery and conversion across Goto products.




  • Build advanced user behaviour models and query/assortment understanding models using LLMs and LLVMs to improve matching accuracy between users, queries, and items across search and recommendation systems.




  • Collaborate with product, engineering, and business-facing data science teams to define problems, run experiments, and deploy solutions at scale.









What You Will Need




  • Master’s degree or higher in Computer Science, Machine Learning, NLP, CV, or a related field; strong programming skills in Python, C++, or Java.




  • Hands-on experience with search/ recommendation/ads systems, with proven improvements to ranking, retrieval, or ad targeting models.




  • Familiarity with LLMs and/or LLVMs, with experience integrating them into search or recommendation pipelines a strong plus.




  • Demonstrated ability to innovate with new algorithms or tools and drive measurable impact, especially making use of Large language Models (LLMs) and Large Language and Vision models (LLVMs) in search modeling or recommendation modeling




  • Strong product intuition and ability to reason from user behavior data and traffic patterns.




  • Good communication skills in English, both written and verbal.




  • Self-motivated, curious, and excited by the opportunity to build high-impact systems quickly.










About the Team




We’re a growing team of algorithm members and engineers spread across China and Singapore. We build the core search and recommendation platform capabilities to power use cases all across the GoTo universe. Everyone on the team shares a bias towards action and a passion for deploying models and strategies to real-world problems - where it’s improving ranking and relevance accuracy, scaling LLM-powered retrieval, or personalising customer journeys.


We believe algorithms and engine application are team sports. We work openly, challenge ideas with curiosity, and support one another to build systems that move business forward 





About GoTo Group


GoTo is the largest digital ecosystem in Indonesia. GoTo's mission is to 'empower progress' by offering technology infrastructure and solutions that help everyone to access and thrive in the digital economy.


The GoTo ecosystem provides a wide range of services, including mobility, delivery, payments, financial services, and technology solutions for merchants. The ecosystem also provides e-commerce services through Tokopedia and banking services through its partnership with Bank Jago.


About Gojek 


Gojek is Southeast Asia’s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.


About GoTo Financial


GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.


GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels on our respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels.


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