Job Description
 

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.

Job Requirements

 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.