Tiktok - San Jose, CA
posted about 2 months ago
As a Tech Lead Machine Learning Engineer for Feed Quality at TikTok, you will play a pivotal role in enhancing our recommendation systems, which are crucial for improving user experience and ensuring platform security. Your primary responsibility will be to build and optimize industry-leading recommendation systems that not only enhance the content ecosystem but also address critical product challenges. You will be tasked with delivering end-to-end machine learning solutions, owning the full stack of the machine learning system, and optimizing algorithms and infrastructure to improve recommendation performance. In this dynamic and fast-paced environment, you will collaborate with cross-functional teams to design product strategies that will help TikTok grow in important markets. Your work will directly impact product decisions and platform growth, making your contributions vital to the company's success. The recommendation algorithm team is composed of machine learning researchers and engineers who are dedicated to innovating and supporting production recommendation models. This collaborative and impact-driven team is looking for someone who is not only technically skilled but also passionate about solving challenging problems and improving user experiences. At TikTok, we value creativity and the ability to take calculated risks. We encourage our employees to embrace ambiguity and pursue bold ideas that can lead to significant impacts. Joining our team means you will be part of a culture that celebrates diverse voices and perspectives, reflecting the global community we serve. We are committed to creating an inclusive space where every employee is valued for their unique skills and experiences, and we hope you share this passion for diversity and inclusion.