Lead Algorithm Engineer - Search & Recommendation (LLMs)

GoTo Financial; Singapore; Hybrid; SGD 150,000 - 210,000; Full time

Job summary

GoTo Financial is seeking a Lead Algorithm Engineer to join the GoTo Search & Recommendations Platform, working with teams across China and Singapore to shape the intelligence behind GoFood and GoPay, powering on-demand and financial use cases in Indonesia and beyond.

You will design and deploy advanced search, recommendation, and monetisation models, collaborating with business-facing data science teams to drive business impact and improve user experience through scalable solutions.

Qualifications

• Master’s degree or higher in Computer Science, ML, NLP, CV, or related field.
• Strong programming skills in Python, C++, or Java.
• Hands-on experience with search/recommendation/ads systems and improvements to ranking or targeting models.
• Familiarity with LLMs and/or LLVMs and integrating them into search or recommendation pipelines.

Responsibilities

• Design and implement algorithms for search, recommendation, or advertising systems to drive discovery and conversion.
• Build advanced user behaviour models and query/assortment understanding models using LLMs/LLVMs to improve matching accuracy.
• Collaborate with product, engineering, and data science teams to define problems, run experiments, and deploy solutions at scale.

Skills

Strong programming skills in Python, C

Experience designing and deploying 10

Ability to build user behavior models

Analytical and experimentation mindset

Education

Master’s degree or higher in Computer Science, ML, NLP, CV, or related field

Tools

Python

C++

Java

LLMs

LLVMs

Job description

GoTo Financial is seeking a Lead Algorithm Engineer to join the GoTo Search & Recommendations Platform, working with teams across China and Singapore to shape the intelligence behind GoFood and GoPay, powering on-demand and financial use cases in Indonesia and beyond.

You will design and deploy advanced search, recommendation, and monetisation models, collaborating with business-facing data science teams to drive business impact and improve user experience through scalable solutions.