Tiktok - San Jose, CA
posted 3 days ago
The Machine Learning Scientist will lead and collaborate with cross-functional teams to design, develop, and deploy sophisticated machine learning algorithms to enhance the performance of our business systems. This role is pivotal in formulating end-to-end machine learning models by utilizing machine learning (ML) and natural language processing (NLP) techniques to address real-world signals generated from privacy products, incidents, and review areas. The successful candidate will analyze extensive and complex datasets to extract meaningful insights, identify opportunities for improvement, and facilitate data-driven decision-making. In addition to model development, the Machine Learning Scientist will design and execute experiments, testing and iterating on machine learning models to optimize recommendation functions and boost user satisfaction. Effective communication of final recommendations will be essential to drive decision-making processes within the organization. The role will also involve utilizing data-driven techniques to build solutions that help measure, validate, identify, and envision TikTok's privacy evolution. This includes designing and scoping out projects, building operationalized analytics tools and platforms, and using data and AI models to find insights, diagnose problems, and tell compelling stories. Collaboration is key in this position, as the Machine Learning Scientist will work closely with various cross-functional teams, including engineering, legal, audit, security, public relations, government relations, and product teams. Building deep domain knowledge and expertise in privacy will be a significant aspect of the role, ensuring that the privacy of TikTok's users is honored across all products and platforms.