Machine Learning Engineer, Generative AI
2 weeks ago
Situated in the heart of Singapore's Central Business District, Rakuten Asia Pte. Ltd. is Rakuten's Asia Regional headquarters. 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.
Rakuten Group, Inc. is a global leader in internet services that empower individuals, communities, businesses, and society. Founded in Tokyo in 1997 as an online marketplace, Rakuten has expanded to offer services in e-commerce, fintech, digital content, and communications to approximately 1.7 billion members around the world. The Rakuten Group has nearly 32,000 employees and operations in 30 countries and regions. For more information visit https://global.rakuten.com/corp/
Department overview
AILab is a group focuses on incubating early-stage efforts to create new ways to advance products through exploration and the application of AI technologies. We work to build new solutions that have the potential to transform how users interact with Rakuten service. Our goal is to drive innovation by developing new products and capabilities that deliver significant impact over longer timeframes using AI.
Why we hire
We are looking for a machine learning engineer to work on next generation AI native experience. In this role, you will be at the forefront of development, and implementation of cutting-edge techniques for LLM solutions including prompt engineering, RAG, model fine-tuning, evaluation, and inference capabilities.
Position Details
- Understand product objectives and machine learning techniques; improve model strategy.
- Understand user behavior and apply ML algorithms to optimize production experience.
- Understand the diversity of Rakuten's business requirements, data, and assets; build cross-scenario technology backbones.
Qualification
- Bachelor or higher degree in computer science or a related technical discipline.
- 3 years' experience in one or more of the following 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 qualification
- 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.
TensorFlow
Machine Learning
Data Structures
Data Management
Data Mining
PyTorch
Python
Data Science
Product Development
Scientific Computing
Teamwork Skills
Rust
C++
Business Requirements
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