Senior Data Scientist, Search & Recommendations

Gotogroup

Jakarta Pusat

On-site

IDR 600,000,000 - 1,200,000,000

Full time

14 days+

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Job summary

GoTo Group is seeking an algorithm expert to shape the intelligence behind GoFood and GoPay. You will design and deploy advanced search, recommendations, and monetisation models, collaborating with teams across Singapore, China, Indonesia, and India to launch foundational platform capabilities.

You will design hybrid retrieval pipelines, build embeddings, and develop multi-task ranking models while leveraging real-time signals like promotions and stock.

Qualifications

  • Master's degree or higher in Computer Science, ML, NLP, CV or related field.
  • Hands-on experience building large-scale ranking or recommendation systems in consumer products.
  • Familiarity with LLMs and/or LLVMs; experience integrating them into search or recommendation pipelines.
  • Demonstrated ability to innovate with new algorithms or tools and drive measurable impact using LLMs and vision models.

Responsibilities

  • Design and optimise hybrid lexical-semantic retrieval pipelines to improve precision and recall across GoFood and GoPay surfaces.
  • Build embeddings and relevance signals capturing user intent, cuisine and dish semantics, geolocation, and promotions.
  • Develop multi-task deep ranking models balancing conversion, diversity, and retention with real-time signals.

Skills

Python
C++
Java
Recommender systems
LLMs / LLVMs
English communication

Education

Master's degree or higher in Computer Science / ML / NLP / CV

Tools

Large language models (LLMs)
Vector search / IR

Job description

GoTo Group is seeking an algorithm expert to shape the intelligence behind GoFood and GoPay. You will design and deploy advanced search, recommendations, and monetisation models, collaborating with teams across Singapore, China, Indonesia, and India to launch foundational platform capabilities.

You will design hybrid retrieval pipelines, build embeddings, and develop multi-task ranking models while leveraging real-time signals like promotions and stock.

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