Tiktok - San Jose, CA
posted 3 days ago
As a Machine Learning Engineer for E-commerce Feed Recommendation at TikTok, you will be part of a dynamic team focused on enhancing the shopping experience through innovative recommendation systems. TikTok is at the forefront of connecting customers with high-quality products through personalized recommendations, leveraging the power of live-streaming and short videos. Your role will involve developing large-scale recommendation algorithms that cater to millions of users, ensuring that our platform remains engaging and user-friendly. You will participate in building and optimizing algorithms that predict user behavior, such as Click Through Rate (CTR) and Conversion Rate. This will require you to design and implement predictive models, develop real-time data pipelines, and engage in feature engineering to enhance the performance of our recommendation systems. Your work will directly impact how users interact with e-commerce content on TikTok, making it essential to analyze user interests and preferences effectively. In addition to algorithm development, you will also be tasked with addressing various e-commerce challenges, including the cold start problem and traffic allocation. This will involve creating long and short-term user interest models and utilizing machine learning technologies to improve the overall shopping experience. You will also have the opportunity to design and build debugging tools to support your work, ensuring that our systems run smoothly and efficiently.