Tiktok - San Jose, CA
posted 3 days ago
As a Machine Learning Engineer focused on Feed Quality at TikTok, you will play a pivotal role in enhancing the user experience and ensuring the integrity of the content ecosystem. Your primary responsibility will be to build and optimize industry-leading recommendation systems that not only improve user engagement but also bolster platform security. You will be tasked with delivering end-to-end machine learning solutions that address critical product challenges, ensuring that our algorithms are not only effective but also efficient in their operation. In this dynamic and collaborative environment, you will own the full stack of the machine learning system, which includes optimizing algorithms and infrastructure to enhance recommendation performance. You will work closely with cross-functional teams to design product strategies that will help TikTok grow in important markets, leveraging your expertise in applied machine learning and large-scale recommendation systems. Your contributions will directly impact product decisions and drive growth across the platform, making your role essential to the company's success. The recommendation algorithm team is at the heart of TikTok's operations, composed of talented machine learning researchers and engineers who are dedicated to innovation and product impact. This fast-paced team thrives on curiosity and creativity, encouraging you to take calculated risks and embrace the challenges that come with developing cutting-edge technology. Join us to make a significant impact in the world of short-form mobile video and help inspire creativity and joy for over a billion users.