Line of ServiceAssurance Industry/SectorNot Applicable SpecialismAnalytics Management LevelIntern/Trainee Job Description & SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients.
Team Introduction Our Content Understanding Architecture Team is responsible for building highly available and scalable content understanding system architectures in areas such as training, inference, and application. Collaborating with the Content Understanding Algorithm Team in areas
Team Introduction The Recommendation Architecture team is responsible for building up and optimizing our recommendation systems architecture to provide the most stable and best experience for our users. We are looking for highly motivated Interns who
Our Team is responsible for the design and development of the Recommendation and Search system architecture for TikTok. It ensures the stability and high availability of the system, optimizes the performance of online services and offline
Our Live Recommendation Architecture Team is responsible for building up and optimizing the architecture for live broadcast recommendation system to provide the most stable and best experience for our users. The team is responsible for system
Team Introduction Our team develops the core training and serving infrastructure that powers one of the worlds largest recommendation systems, enabling billions of personalized recommendations every day. We are also advancing the next generation of AI
E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. Our E-commerce Recommendation and Search Infra team
E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. Our E-commerce Recommendation Infra team is responsible
Team Introduction MLOps - Global SRE team is responsible for the reliability of the machine learning infrastructure powering TikTok’s global advertising systems. We ensure the stability, scalability, and operational efficiency of the entire machine learning lifecycle,
Our team develops the core training and serving infrastructure that powers one of the worlds largest recommendation systems, enabling billions of personalized recommendations every day. We are also advancing the next generation of AI infrastructure for