楽天は検索およびレコメンデーションシステムを高度化するデータサイエンスエンジニアを募集します。機械学習、検索、レコメンデーションシステム、またはLLM分野での2年以上の実務経験が必須です。最新の深層学習モデルを活用して検索性能を改善し、本番環境へのデプロイを担当します。技術への情熱と優れたチームワークを持つ方を求めています。
The AI & Data Division (AIDD) creates powerful AI, customer-focused search, recommendation, data science, advertising, marketing, price and inventory optimization solutions to a variety of businesses in commerce, fintech and mobile industries. We design, develop, and deploy high performance, fault-tolerant distributed systems used by millions of Rakuten customers every day. We strive to deliver the most innovative solutions that are helpful to people and societies around the world.
Rakuten is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At Rakuten, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Search Department is part of the AI Engineering Supervisory Department under AI & Data Division in Rakuten. Search Department focuses on Search, Discovery, and Navigation experience for users of Rakuten. We help demand meet supply through our services that are engineered for scale, performance, and ease of use. We support 20 plus Rakuten Businesses across three different continents, 50 plus user functions and over a billion active users annually generating over two Billion dollars in revenue directly from us.
As an experienced Data Scientist, you will need to have a strong background in machine learning, NLP, Computer Vision, Python programming, and data analytics. Our team is responsible for developing state-of-the-art machine learning models and strategies to improve E-commerce conversion through search and recommendation algorithm improvements. You are able to work independently, and have the ability to propose solutions that the team can use, and that can impact projects.
The search science team is responsible for developing cutting-edge deep learning models and algorithms solutions for various NLP and multimodal tasks using neural networks, machine learning algorithms, and optimization techniques. The team works on challenging problems such as semantic search, image and multimodal search, deep ranking systems, and more. The team also leverages state-of-the-art frameworks such as transformers and large language model (LLM) to train and deploy efficient and accurate models.
Responsibilities
Build industry-leading search & recommendation system to solve business challenges.
Develop highly scalable embedding-based retrieval systems and tools.
Be responsible for improving search recall and ranking by leveraging NLP and multimodal large models to improve multilingual, multi-task, and multi-modal algorithm performance.
Conduct AB Tests to ensure we pick the best winning variant.
Ensure successful deployment of features, code, data, and models in production.
Understand the diversity of Rakuten's business requirements, data, and assets; build cross-scenario technology backbones.
Work with Rakuten cross-functional engineers, researchers, and statisticians to grow Rakuten in important regional markets.
2 year or more experience in one or more of the following areas: Machine Learning, Search, Recommendation Systems, Large Language Models, or other related areas.
Bachelor's in computer science or a related technical discipline, Master or PhD preferred.
Solid experience with data structures or algorithms.
Strong software development experience through hands-on coding in a general-purpose programming language.
Strong communication and teamwork skills.
Passion for technology and solving challenging problems.
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