Job Details

Research Engineer

Research - Sea AI Lab (SAIL), Singapore

Experienced (Individual Contributor)

SAIL is focused on exploring and developing long-term insights and technologies related to Sea’s existing businesses and new opportunities beyond. At SAIL, we focus on: (1) Exploring the limits of current AI systems (performance, safety, efficiency) (2) Advancing AI through simple, effective solutions. Working here, you'll join talented researchers from diverse backgrounds with freedom to pursue meaningful AI topics. We value impact, insight, and practicality, all driven by first principles thinking.

Job Description

Design, develop, and maintain large language models for advanced agent systems.
Stay up-to-date and implement cutting-edge machine learning techniques and technologies to enhance agent capabilities.
Architect and execute data collection solutions, including gathering and preprocessing high-quality datasets for model fine-tuning and evaluation.
Review code from team members, providing feedback to ensure quality standards in style, integration, accuracy, testability, and performance.
Transform innovative research concepts into practical, real-world applications.

Job Requirements

Master's degree or PhD degree in Computer Science or a related technical field.
Published research papers or significant contributions to the LLM community like open-source models.
Strong programming expertise in Python and/or C++, with extensive experience in deep learning frameworks (PyTorch, DeepSpeed, Megatron), and Large Language Models (LLMs)
Minimum 3 years of experience implementing Machine Learning/Artificial Intelligence (ML/AI) algorithms and tools or natural language processing
Experience testing, maintaining or launching software products, and with software design and architecture.
(Preferred) Experience in a technical leadership role.
(Preferred) Specialized expertise in inference optimization and acceleration, including deep knowledge of GPU architecture and AI accelerators.
(Preferred) Proficiency with large-scale ML systems orchestration using Kubernetes and cloud-native technologies.
(Preferred) Experience with the design of distributed infrastructure systems, software development with code review, functional and performance testing, reliability, and high availability.

*Please note that you can only apply for up to 2 positions in a given period.