Job title: Data Mining Engineer (Data Mining) Start
Job description: SunIRef:Manu:title Responsibilities TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul, and Tokyo. Security Team at TikTok: The team is missioned to build infrastructures, platforms, and technologies, as well as to support cross-functional teams to protect our users, products, and infrastructures. In this team, you’ll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and secure-by-design systems and solutions. Our challenges are not your regular day-to-day technical problems; you’ll be part of a team that’s developing new solutions to new challenges of a kind not previously addressed by big tech. It’s working fast, at scale, and we’re making a difference. Responsibilities: Enable and contribute to establishing fast and continuous threat response, in partnership with product risk operations, by building advanced analytics systems and data mining insights; Enable and contribute to establishing robust and powerful automated defense, in partnership with Machine Learning peers, by creating and improving risk prevention rules and models; Enable and contribute to establishing an accurate, efficient, and reliable human moderation eco-system, in collaboration with multiple cross-functional partners, by identifying and realizing data or engineering opportunities surfaced in risk operations. Qualifications Required Qualifications: Currently pursuing your Bachelor’s or above degree in Computer Science, Electrical Engineering, or related engineering field, and will graduate during December 2020 – September 2021 Solid technical / data-mining skills and ability to work with large volume data to identify and abstract abusive behavior patterns in ByteDance products (e.g. TikTok). Ability to think critically and to properly communicate problem solutions to cross-functional partners in a clear, concise, and timely manner. Strong ownership (proactivity, initiative, followthrough) to surface and solve open-ended problems against social platform attackers with adversarial nature.Preferred Qualifications: Pursuing a Ph.D. degree in Computer Science or Statistics. Publications in top academic conferences on relevant data mining topics about social platform communities. E.g. Botnet, interest group mining, fraud detection. Industry experience (internship included) in predictive analytics and/or statistical modeling. Deep understanding of popular neural net models. E.g. natural language processing, graph embedding, and/or relevant unsupervised/semisupervised/transfer learning.Application deadline: April 15th, 2021 Applications will be reviewed on a rolling basis and we encourage you to apply early; Interview starts in Dec 2020. TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We believe individuals shouldn’t be disadvantaged because of their background or identity, but instead should be considered based on their strengths and experience. We are passionate about this and hope you are too. TikTok is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to us at .
Location: Mountain View, CA
Job date: Thu, 19 Nov 2020 07:49:32 GMT