Tiktok - Seattle, WA
posted 4 days ago
As a Machine Learning Engineer focused on E-commerce Feed Recommendation at TikTok, you will be part of a dynamic team dedicated to enhancing the shopping experience for users through innovative machine learning algorithms. TikTok is not just a platform for short-form mobile videos; it is a rapidly growing e-commerce destination that connects customers with high-quality products and sellers through personalized recommendations. Your role will involve developing and optimizing recommendation systems that cater to billions of users daily, ensuring that they receive tailored content that aligns with their interests. In this position, you will participate in building large-scale recommendation algorithms for live-streaming and short videos, which are crucial for TikTok's unique shopping experience. You will design, develop, evaluate, and iterate on predictive models that enhance candidate generation and ranking, focusing on metrics such as Click Through Rate (CTR) and Conversion Rate (CVR). This will include constructing real-time data pipelines, performing feature engineering, and innovating model optimization techniques. Additionally, you will be responsible for creating long and short-term user interest models, analyzing vast amounts of data to extract relevant insights, and designing algorithms that efficiently explore users' latent interests. Your work will directly impact user engagement and satisfaction, addressing e-commerce challenges like the cold start problem and optimizing traffic allocation. You will also have the opportunity to design and build supporting tools to facilitate debugging and enhance system performance.