A LinkedIn post from Trendyol Group highlights an episode of its “Behind the Code” series focused on AI and large-scale engineering at the company’s Ankara office. The post describes collaboration between Data Science, Video and Media teams, and emphasizes handling millions of requests while incorporating fairness considerations into deployment of deep learning models.
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According to the post, Trendyol’s platform relies on AI models, including LLMs and VLMs, for catalog moderation and product content control. It also notes work on detecting forbidden content and introducing AI-generated videos for sellers, suggesting ongoing product innovation in content automation and trust-and-safety workflows.
The post further outlines the underlying technology stack, referencing tools such as PyTorch, Go, vector databases, image search systems, and high-scale OCR. This focus on scalable infrastructure and applied AI may signal continued investment in in-house technology capabilities, which could reinforce Trendyol’s competitive position in e-commerce personalization and content moderation.
The episode is framed as an insight into Trendyol Tech’s culture, including a “produce, don’t just consume” philosophy and an emphasis on feedback. The post also promotes open roles for data scientists and backend developers, implying active hiring in core technical functions that could support future platform scaling, feature rollouts, and operational resilience.