Machine Learning Innovator

6 days ago


Singapore RAKUTEN ASIA PTE. LTD. Full time
About Us
Rakuten Asia Pte. Ltd. is a part of Rakuten Group, Inc., a global leader in internet services that empower individuals, communities, businesses, and society through its innovative e-commerce, fintech, digital content, and communications offerings.

Company Overview
Established in August 2012 as part of Rakuten's global expansion strategy, Rakuten Asia comprises various businesses that provide essential value-added services to Rakuten's global ecosystem. Through advertisement product development, product strategy, and data management, among others, Rakuten Asia is strengthening Rakuten Group's core competencies to take the lead in an increasingly digitalized world.

The Role
We are seeking a skilled machine learning engineer to work on next-generation AI native experience. In this role, you will be responsible for developing and implementing cutting-edge techniques for LLM solutions, including prompt engineering, RAG, model fine-tuning, evaluation, and inference capabilities.

Key Responsibilities
- Develop and implement cutting-edge techniques for LLM solutions
- Collaborate with cross-functional teams to build technology backbones for Rakuten's diverse business requirements, data, and assets
- Apply ML algorithms to optimize production experience and understand user behavior

Requirements
- Bachelor or higher degree in computer science or a related technical discipline
- 3 years' experience in one or more areas: machine learning, search, recommendation systems, data mining, or other related areas
- Proficiency in programming languages such as Python, Go, C++, or Rust and a track record of working with deep learning frameworks (e.g., pytorch, deepspeed, megatron, etc.)
- Solid experience with data structures or algorithms
- Strong communication and teamwork skills
- Passion for technology and solving challenging problems

Preferred Requirements
- Strong understanding of cutting-edge LLM techniques (e.g., attention variants, multi modality, prompt engineering, alignment, agent etc.) and possess practical expertise in effectively implementing these systems
- Have prior experience working with machine learning platforms and/or training and inference of LLMs

Culture
We value teamwork, innovation, and continuous learning. If you are passionate about technology and solving complex problems, we encourage you to apply.

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