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/
Rakuten Institute of Technology (RIT) is Rakuten’s global R&D organization focused on advancing technology innovation across the company’s diverse portfolio. With offices in Tokyo, Singapore, Bengaluru, Boston, San Mateo and Paris, our contributions range across fields like natural language processing, computer vision, semantic search, recommendation systems, etc.
As a Research Scientist at RIT Singapore, you will contribute to the development of large language and multimodal models, using current and novel architectures. You will contribute to training, post-training, alignment, evaluations and inference aspects of these models. The role involves collaborating with teams to deliver applied research projects in the field of foundation models.
Responsibilities:
- Own and pursue, long-term applied research goals in the area of LLM/ LMM.
- Research and advance LLM/LMM efforts with novel LLM architectures like Mixture of Experts, State Space Models and techniques like Knowledge Distillation, Synthetic Data Generation etc.
- Evaluate and benchmark LLM/LMM performance on automatic metrics and real-world business scenarios.
- Maintain thought leadership by staying up to date on industry and academic trends and publishing in top-tier venues.
Required Qualifications:
- PhD or Masters in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Experience in distributed deep-learning.
- Proficiency in programming languages like Python or C/C++, with experience in deep learning libraries and platforms (e.g., PyTorch, Transformers, JAX).
- Proven ability to innovate and deliver results at a large scale in both research and applied contexts.
Good-to-have Qualifications:
- Strong publication record in top AI venues like NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ECCV, and ICCV.
- Familiarity with Japanese language is a plus.
- Thoughtful about AI impacts, ethics, and responsible AI practices.
- Excellent problem-solving skills, with a track record of addressing novel challenges.
- Strong communication skills, with the ability to drive collaboration across technical and business teams.
Rakuten is an equal opportunities employer and welcomes applications regardless of sex, marital status, ethnic origin, sexual orientation, religious belief or age.
