The Senior Software Engineer will join the Ad Product Section team and help define the next generation of its advertising platform. The role owns the end-to-end product development lifecycle and includes technical leadership, architectural design, system maintenance, cross-functional collaboration, and mentoring engineers.
The Senior Software Engineer will help define the next generation of the advertising platform and own the end-to-end product development lifecycle. The role includes technical architecture, implementation, deployment, monitoring, maintenance, code reviews, and integrating AI-assisted development workflows. It also includes identifying technical debt, collaborating with Product, Design, and Engineering, and mentoring junior engineers and interns.
The Technical Project Manager will lead delivery of AI-powered contact centre capabilities for chat, voice, and human-agent experiences built on large language models. The role owns project planning, stakeholder alignment, execution, quality, release readiness, and delivery outcomes for the AI for Customer Service team.
As a Technical Account Manager, you will bridge the CCoE and internal service teams, supporting Business Units in leveraging cloud technology from both technical and business perspectives. The role supports cloud governance, adoption, troubleshooting, cost optimization, escalations, and reporting for assigned BUs.
The GPU Training & Inference Optimization Engineer focuses on maximizing the performance, efficiency, and scalability of LLM training and inference workloads on Rakuten’s GPU clusters. The role optimizes distributed training frameworks and inference engines, improves GPU utilization, reduces training time and inference latency, and collaborates with infrastructure teams on large-scale GPU workloads.
The search science team develops deep learning models and algorithm solutions for NLP and multimodal tasks, including semantic search, image and multimodal search, and deep ranking systems. The role builds search and recommendation systems, develops embedding-based retrieval systems, and improves search recall and ranking. It also involves conducting AB Tests and deploying features, code, data, and models in production.