Machine Learning Engineer - Frontier Research Department (FRD)

Job DescriptionBusiness OverviewRakuten Group, Inc. is a global leader in internet services, offering a dynamic ecosystem of over 70 services across e-commerce, FinTech, digital content, and communications. Founded in 1997, Rakuten’s mission is to empower people and society through innovation and entrepreneurship. With a vision of driving disruptive innovation globally, Rakuten integrates various services under a unified brand, supported by a unique ecosystem model that leverages data and AI. The company’s popular "Rakuten Points" program and “One ID” system enhance user engagement, providing seamless access to its diverse services. Headquartered in Japan, Rakuten has achieved 27 consecutive years of revenue growth and is recognized for fostering a diverse and inclusive corporate culture, with English as its official language since 2012. In recent years, Rakuten has focused on AI and sustainability initiatives, aiming to drive further technological advancements and achieve carbon neutrality.Department OverviewThe search and deep learning Models and Algorithms team is responsible for developing cutting-edge solutions for various NLP tasks using neural networks, machine learning algorithms, and optimization techniques. The team works on challenging problems such as semantic search, large language model (LLM) training, and more. The team also leverages state-of-the-art frameworks such as transformers to train and deploy efficient and accurate models. The ideal candidate for this team should have a strong background in deep learning, NLP, CV, Python programming, and data analysis.PositionPosition DetailsOur Rakuten 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. Build industry-leading search & recommendation system; develop highly scalable classifiers and tools leveraging machine learning; work on cutting-edge research models in NLP. Understand product objectives and machine learning techniques; improve model and recommendation strategy. Understand user behavior and apply ML algorithms to optimize E-commerce conversion and production experience. Understand the diversity of Rakuten's business requirements, data, and assets; build cross-scenario technology backbones. Work with Rakuten cross-functional teams to grow Rakuten in important regional markets.Mandatory Qualifications One year or more experience in one or more of the following areas: machine learning, search, recommendation systems, data mining, or other related areas. Bachelor or higher degree in computer science or a related technical discipline. Solid experience with data structures or algorithms. Software development experience through hands-on coding in a general-purpose programming language. Familiarity with Triton or CUDA kernel programming is highly desirable. Strong communication and teamwork skills.Passion for technology and solving challenging problems.#engineer #AI #aianddatadiv