Tiktok - San Jose, CA
posted 3 days ago
As a Senior Machine Learning Engineer focused on E-commerce Feed Recommendation at TikTok, you will play a pivotal role in shaping the future of our interest-based E-commerce platform. This position is integral to connecting customers with high-quality products through personalized recommendations, leveraging the power of machine learning and data analytics. TikTok Shop is not just another E-commerce platform; it offers a unique shopping experience through live-streaming and short videos, making the recommendation system crucial for enhancing user engagement and satisfaction. In this role, you will participate in the development of large-scale recommendation algorithms and systems that cater to millions of users. Your responsibilities will include designing, developing, and iterating on predictive models that drive candidate generation and ranking, such as Click Through Rate (CTR) and Conversion Rate predictions. You will work with real-time data pipelines, engage in feature engineering, and optimize models to ensure they meet the dynamic needs of our users. You will also be tasked with building user interest models that analyze vast amounts of data to uncover latent interests, thereby improving the shopping experience. This involves addressing various e-commerce challenges, including the cold start problem and effective traffic allocation. Additionally, you will design and develop tools to support and debug the systems you create, ensuring they operate smoothly and efficiently. At TikTok, we believe in the power of creativity and collaboration. You will be part of a team of applied machine learning engineers and research scientists dedicated to innovating and improving our E-commerce offerings. Your work will directly impact how users interact with our platform, making it an exciting opportunity to contribute to a rapidly growing area of our business.