Top Tech Jobs & Startup Jobs in Singapore

Develop multilingual LLMs for Bahasa Indonesia and regional languages. Responsibilities include creating datasets for pretraining, fine-tuning, alignment, and evaluation; training and scaling models; implementing safety and guardrail systems; researching efficient methods; and collaborating with product and engineering teams to deploy reliable, production-grade AI solutions.

Lead development of personalization and recommendation systems using large-scale transactional data. Define model strategy, build and deploy scalable ML pipelines, run experiments to measure impact, mentor data scientists, and collaborate with Product and Engineering to drive customer engagement and transactions.

As a Senior Data Scientist, you'll design and implement advanced retrieval and ranking algorithms for GoFood and GoPay, enhancing user experience and business impact through innovative solutions.

Own end-to-end ML solutions to improve driver allocation, surge pricing, and incentives. Translate business problems into models, deploy and monitor production systems, design experiments, apply causal inference, optimization and simulation, and communicate results to cross-functional stakeholders.

As a Lead Data Scientist, you will improve dynamic pricing systems, lead ML projects, collaborate with teams, and analyze data for business impact.

As a Senior Data Scientist, you'll design datasets, conduct model pre-training, and collaborate with teams to develop LLM features for diverse users.

As a Lead Data Scientist, you will design and deploy search and recommendation algorithms, optimizing user experience for GoFood and GoPay systems, leveraging large-scale data and machine learning expertise.

As a Senior Data Scientist, you will develop and deploy advanced AI models in deep learning, focusing on computer vision, voice, and text processing. Responsibilities include model optimization, performance evaluation, and collaboration with engineering teams.

The Lead Data Scientist will develop multilingual AI models, focusing on dataset creation and model training, while collaborating with product and engineering teams for deployment.

Design, prototype, and deploy personalization, recommendation, and search models using large-scale behavioral and transactional data. Build end-to-end ML pipelines, run A/B tests and offline/online evaluations, integrate LLM/LLVM-based models, collaborate with product and engineering teams, and monitor/iterate models to improve discovery and user engagement.