The Recommendation Architecture Team is responsible for designing and developing next-generation recommendation system architectures across multiple products within the company. We ensure system stability and high availability, optimize performance for online services and offline data pipelines, address system bottlenecks, and reduce operational costs. We also abstract reusable system components and platform capabilities to support recommendation and data middleware platforms, accelerate new product incubation, and empower enterprise clients.
With the rapid evolution of AI, the team is actively exploring AI Agent-driven engineering systems to reshape R&D workflows, improve development efficiency, and build more intelligent, reliable, and cost-effective engineering infrastructure.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
ByteDanceSingapore
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checked 2 days agoSource: the company job board. We last checked this job 2 days ago. We first saw it 7 days ago. A job on a job board does not always mean that the team interviews people now.
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