Los Angeles, US-United States, San Jose, US-United States
Posted 9 hours ago
| About The Company This company pioneers short-form video creation and social engagement, boasting a vast, engaged user base. Its platform empowers users with creative tools, filters, and effects. With a diverse content ecosystem, it’s a hub of creativity and expression. The proprietary algorithm ensures personalized content feeds, enhancing user engagement and satisfaction. This company wields significant influence on digital media, making it an invaluable partner for innovative collaborations and marketing endeavors. 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. Requirements Minimum Qualifications – Master 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. |
Job Features
| Job Category | AI Engineering |
| Seniority | Junior / Mid IC |
| Base Salary | $177,000 - $341,000 |
| Recruiter | levana.lyu@ocbridge.ai |
