San Jose, US-United States
Posted 9 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. What You’ll Do – Build highly scalable machine learning systems/models to improve ads ranking results. – Explore, develop and experiment with new features to improve model accuracy. – Understand ads platform objectives and take full advantage of modern machine learning to improve ad quality, relevancy, and select the best ad formats delivered to end-users. – Develop robust core systems and algorithms, including ads format selection system, ads ranking system, model serving system, etc. Minimum Qualifications – BS/MS degree in Computer Science, Computer Engineering, or a related technical discipline with 7+ years industry experience and 3+ 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 | $212,800 - $389,500 |
| Recruiter | luna.zeng@ocbridge.ai |
