TikTok
Lead Machine Learning Engineer, Risk Data Mining
TikTok, San Jose, California, United States, 95199
Responsibilities
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. The Business Risk Integrated Control (BRIC) team is missioned to:Protect TikTok users, including and beyond content consumers, creators, advertisers;Secure platform health and community experience authenticity;Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders.
The BRIC team works to minimize the damage of inauthentic behaviors on TikTok platforms, covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti-spam, API abuse, growth fraud, live streaming security, and financial safety (ads or e-commerce). 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 robust, intelligent and privacy-safe, secure and product-friendly systems and solutions. The work needs to be fast, transferrable, while still down to the ground to making quick and solid differences.
Responsibilities:Build machine learning solutions to respond to and mitigate business risks in TikTok products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc.Improve modeling infrastructures, labels, features and algorithms towards robustness, automation and generalization, reduce modeling and operational load on risk adversaries and new product/risk ramping-ups.Uplevel risk machine learning excellence on privacy/compliance, interpretability, risk perception and analysis.
QualificationsMaster or above degree in computer science, statistics, or other relevant, machine-learning-heavy majors.Solid engineering skills. Proficiency in at least two of: Linux, Hadoop, Hive, Spark, Storm.Strong machine learning background. Proficiency or publications in modern machine learning theories and applications such as deep neural nets, transfer/multi-task learning, reinforcement learning, time series or graph unsupervised learning.Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy.
Preferred Qualifications:5 years of industry experience in a software development environment.
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. We are passionate about this and hope you are too.#J-18808-Ljbffr
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. The Business Risk Integrated Control (BRIC) team is missioned to:Protect TikTok users, including and beyond content consumers, creators, advertisers;Secure platform health and community experience authenticity;Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders.
The BRIC team works to minimize the damage of inauthentic behaviors on TikTok platforms, covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti-spam, API abuse, growth fraud, live streaming security, and financial safety (ads or e-commerce). 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 robust, intelligent and privacy-safe, secure and product-friendly systems and solutions. The work needs to be fast, transferrable, while still down to the ground to making quick and solid differences.
Responsibilities:Build machine learning solutions to respond to and mitigate business risks in TikTok products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc.Improve modeling infrastructures, labels, features and algorithms towards robustness, automation and generalization, reduce modeling and operational load on risk adversaries and new product/risk ramping-ups.Uplevel risk machine learning excellence on privacy/compliance, interpretability, risk perception and analysis.
QualificationsMaster or above degree in computer science, statistics, or other relevant, machine-learning-heavy majors.Solid engineering skills. Proficiency in at least two of: Linux, Hadoop, Hive, Spark, Storm.Strong machine learning background. Proficiency or publications in modern machine learning theories and applications such as deep neural nets, transfer/multi-task learning, reinforcement learning, time series or graph unsupervised learning.Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy.
Preferred Qualifications:5 years of industry experience in a software development environment.
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. We are passionate about this and hope you are too.#J-18808-Ljbffr