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.
We are seeking strong ML engineers to join the ML team and help sharpen the ML vision and deliver solutions for customers. The role involves designing and developing ML products integrated with the CDP, building scalable data pipelines, and supporting production ML systems. The position works closely with ML engineers and cross-functional teams.
Shapes customer opportunities and turns business needs into actionable technical approaches, then builds and delivers production-grade solutions in customer environments. Partners with senior stakeholders, applies customer and industry context, and transitions work to FDE crews with clear scope and technical direction.
Drive customer outcomes by shaping opportunities and translating business needs into clear, actionable technical approaches. Build and deliver production-grade solutions in customer environments, and prepare and transition work to FDE crews with clear scope and strong technical direction. Engage and influence senior stakeholders while applying industry and customer context to tailor solutions.
Drive customer outcomes by translating business needs into actionable technical approaches and delivering production-grade solutions in customer environments. Engage senior stakeholders, tailor solutions to industry and customer context, and prepare and transition work to FDE crews.
This role embeds with strategic customers to lead complex technical programs across AI, cloud, and data, owning the customer journey from problem definition through delivery and measurable business outcomes. It partners with customer engineers and multidisciplinary engineering teams to design and deliver AI-powered cloud solutions. The role also develops reusable solution patterns and engineering playbooks, and provides stakeholders with data-driven recommendations.