San Jose, US-United States
Posted 6 months 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. We’re looking for innovative Machine Learning Engineers to join our Ads Core team. Our team is a platform team that develops state-of-art ad technologies, including ranking, retrieval, targeting, bidding, auction, etc. Our team’s mission is to optimize organic and paid traffic together to deliver better ROI for advertisers, deliver native ads with better user experience in the open-loop industry. You will be part of a team that’s optimizing ads format and ranking strategies, and you will be responsible for bringing a better return on investment for advertisers. What You’ll Do – Improve the effectiveness of spark ads delivery in all ads ranking systems, improve user experience and ROI. – Develop open-loop bidding products by joint optimization of recommendation traffic and ads traffic. – Iterate bidding strategy to reach the ROI and CPA goal. – Improve anchor model efficiency, including privacy preserving environments. – Improve user experience, maximize the delivery effect with minimal experience loss. Minimum Qualifications – BS/MS degree in Computer Science, Computer Engineering, or a related technical discipline with 5+ years industry experience and 2+ year model optimization experience. – Solid programming skills, proficient in C/C++ and Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment. – Good analytical thinking capability. Have essential knowledge and skills in statistics. – Good theoretical grounding in deep learning concepts and techniques. – Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/Pytorch/MXNet), familiar with its architecture and implementation mechanism. Preferred Qualifications – Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems (familiar with one or more of these terms: CPC/CPM, CTR/CVR, Ranking /Targeting, Conversion/Budget, Campaign/Creative, Demand/Inventory, DSP/RTB). – Experience in resource management and task scheduling with large scale distributed software (such as Spark and TensorFlow). |
Job Features
| Job Category | AI Engineering |
| Seniority | Senior IC / Tech Lead |
| Base Salary | $180,000 - $280,000 |
| Recruiter | aona.zhou@ocbridge.ai |
