Senior Data Scientist, Multilingual LLM & AI Lead

Gotogroup; Jakarta Pusat; Hybrid; IDR 2,185,792,000 - 3,278,689,000; Full time

Job summary

GoTo Group is seeking a Lead Data Scientist to shape a multilingual LLM tailored for Bahasa Indonesia and regional languages. You will design and build high-quality datasets, guide pretraining, fine-tuning, and alignment, and collaborate with product and engineering teams to ship safe, reliable LLM-powered features to millions of users.

You will lead the end-to-end data science efforts, tackle scalable training challenges, and advance state-of-the-art methods while ensuring culturally

Qualifications

• 7+ years of experience in deep learning, NLP, computer vision, or related fields.
• Proficient in data preprocessing, model training, evaluation, and optimization.
• Experience deploying models to production and solving real business problems.
• Strong Python skills and deep learning frameworks such as PyTorch or TensorFlow.

Responsibilities

• Work with multilingual corpora including text, audio, and image modalities.
• Build datasets for continual pretraining, SFT, RLHF, DPO, and evaluation benchmarks.
• Contribute to training and scaling multilingual LLMs from pretraining to alignment.
• Implement state-of-the-art methods for scalable operations.
• Enhance safety alignment and guardrail systems for responsible model behavior.
• Collaborate with product and engineering teams to deploy LLM-powered features.

Skills

Data preprocessing

Model training

Model evaluation

ML deployment

Python

Communication

Education

Master's degree in CS/DS/AI

PhD in CS/DS/AI

Tools

PyTorch

TensorFlow

AWS

GCP

Alicloud

Job description

GoTo Group is seeking a Lead Data Scientist to shape a multilingual LLM tailored for Bahasa Indonesia and regional languages. You will design and build high-quality datasets, guide pretraining, fine-tuning, and alignment, and collaborate with product and engineering teams to ship safe, reliable LLM-powered features to millions of users.

You will lead the end-to-end data science efforts, tackle scalable training challenges, and advance state-of-the-art methods while ensuring culturally