Lead Data Scientist - LLM Platform
at Gotogroup
Singapore, hybrid, senior, full time, 7+ years
seen 2d ago
- SFT
- DPO
- Deep Learning
- NLP
- PyTorch
- GCP
- Alicloud
- Computer Vision
- AWS
- RLHF
- Python
- TensorFlow
About the role
We are building a multilingual Large Language Model (LLM) tailored for Bahasa Indonesia and regional languages. We are looking for a passionate Lead Data Scientist to help shape the future of open and inclusive AI for Indonesia, as well as play a pivotal role in identifying impactful AI use cases. As a Lead Data Scientist working on LLMs, you will design and build high-quality datasets, advanced model pre-training, fine-tuning, and alignment techniques, and collaborate closely with product and engineering teams to ship safe, reliable LLM-powered features to millions of users. This role offers the opportunity to drive innovation, solve critical business challenges, and shape the future of AI-driven solutions at GoTo Group.
The AI-LLM team is on a mission to build the most capable and culturally aligned multilingual LLMs for Indonesia. At GoTo Group, the AI-LLM team is at the forefront of developing state-of-the-art language models. We are building foundational AI models that understand and generate Bahasa Indonesia and regional languages – empowering more inclusive technology.
We work on everything from continual pretraining of large-scale LLMs to alignment and safety fine-tuning, using both structured and unstructured data from diverse sources. Our projects span core model development, dataset curation, safety systems, and real-world deployment in consumer and enterprise applications. Our team brings together members with diverse technical and cultural backgrounds, bringing expertise in machine learning and local languages.
What you would do
* Work with large-scale multilingual corpora, including text, audio, and image modalities * Build high-quality datasets for both continual pretraining,post-training (SFT, RLHF, DPO), and benchmark evaluation * Contribute to the training and scaling of multilingual LLMs – from continual pretraining to supervised fine-tuning and alignment. * Implement state of the art methods and research for efficient and scalable operations. * Implement and improve safety alignment and guardrail systems to ensure responsible and culturally appropriate model behavior. * Collaborate closely with business/product, engineers to deploy production-gradeLLM-powered solutions. * Stay current with advancements in AI technologies. Frontier models, training methodologies etc
What they are looking for
Read from jobs.lever.co, last seen 1d ago.