GoTo Financial - Lead Algorithm Engineer - Search & Recommendation

GoTo Group

Singapore

On-site

SGD 70,000 - 90,000

Full time

14 days+

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Job summary

GoTo Group is seeking an algorithm member for their Search and Recommendations Platform team in Singapore. In this role, you will design and implement algorithms for various products, enhance user behavior models, and collaborate with teams to improve search and recommendation systems. The ideal candidate holds a Master’s degree in Computer Science or a related field and has strong programming skills in Python, C++, or Java. Excellent communication skills in English are a must for this position.

Qualifications

  • Master’s degree or higher in relevant field.
  • Strong programming skills in Python, C++, or Java.
  • Hands-on experience with search or recommendation systems.

Responsibilities

  • Design and implement algorithms for search and recommendation systems.
  • Build advanced user behavior models using LLMs.
  • Collaborate with teams to define problems and deploy solutions.

Skills

Programming skills in Python
Programming skills in C++
Programming skills in Java
Hands-on experience with search systems
Experience with LLMs
Good communication skills in English

Education

Master’s degree in Computer Science
Master’s degree in Machine Learning
Master’s degree in NLP
Master’s degree in CV

Job description

About The Role

As an algorithm member in the Search and Recommendations Platform team, you will work alongside top talent in China and Singapore to shape the intelligence behind GoFood and GoPay systems. You will design and deploy cutting‑edge search, recommendations, and monetisation models that power on‑demand and financial use cases across Indonesia. In your first six months, you will play a key role in launching foundational platform capabilities and collaborating with business‑facing data science teams, to drive business impact and improve user experience.

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.

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