Lead Algorithm Engineer - Search & Recommendation

GoTo Group; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading tech firm in Singapore is seeking an Algorithm Member for the Search and Recommendations Platform team. The role involves designing and implementing algorithms for search, recommendation, and advertising systems, as well as building user behavior models to enhance matching accuracy. Candidates should hold a Master’s degree in a relevant field, possess strong programming skills, and have hands-on experience with search systems. The position emphasizes collaboration with product and engineering teams, offering the opportunity to drive impactful solutions quickly.

Qualifications

• Master’s degree or higher in Computer Science, Machine Learning, NLP, CV, or a related field.
• Hands-on experience with search/recommendation/ads systems.
• Demonstrated ability to innovate with new algorithms or tools.

Responsibilities

• Design and implement algorithms for search, recommendation, or advertising systems.
• Build advanced user behavior models and query/assortment understanding models.
• Collaborate with product, engineering, and data science teams.

Skills

Programming skills in Python

Experience with search/recommendation systems

Familiarity with LLMs and LLVMs

Strong product intuition

Good communication skills in English

Education

Master’s degree in Computer Science or related field

Job description

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.