Tiktok - San Jose, CA
posted 4 days ago
TikTok is the leading destination for short-form mobile video, with a mission to inspire creativity and bring joy. The Trust and Safety team is rapidly expanding and is responsible for developing machine learning models and systems that protect users from negative content. This role involves leveraging state-of-the-art machine learning technologies to moderate the vast amounts of data generated on the platform, ensuring a safe and enjoyable user experience for billions of users worldwide. As a Machine Learning Engineer specializing in Computer Vision, you will be tasked with designing and developing advanced machine learning solutions that will be deployed directly to TikTok's global platform. You will collaborate closely with engineers, product managers, and business partners to identify and tackle the most challenging safety and integrity issues at an internet scale. The ideal candidate will possess a strong foundation in machine learning, particularly in content understanding, and will have a solid background in software engineering. Your responsibilities will include leading the development of content understanding models for content moderation, working with various content understanding techniques such as unimodal and multimodal classifiers, graph models, and representation learning models. You will also collaborate with product teams to define business objectives and enhance the trust and safety strategy, as well as work with engineering teams to deploy machine learning models and design online model workflows at scale. Additionally, you will partner with data scientists to address key challenges and propose data-driven strategies.