San Jose, US-United States
Posted 5 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. The App Ads and Gaming team empowers our global monetization (billion-dollar business) via efficiently delivering application ads. Our mission is to push the boundaries of large-scale ad delivery systems and lead the innovations of our personalized online advertising. Hence, you’ll have a chance to get deeply involved in our large-scale distributed systems and state-of-the-art machine-learning algorithms. As a Machine Learning Engineer on the App Ads & Gaming team, you will make efforts to develop novel machine learning solutions for ranking, build scalable foundations, and launch various products that maximize the efficiency of deep funnel app ads delivery. Key Responsibilities – Work on the development of a large-scale App Ads delivery system and improve its accuracy. – Explore multi-stage ranking models, conduct data analysis, develop feature engineering. – Participate in the innovations of core App Ads systems using machine learning models, ranking algorithms, etc. – Partner with product managers, data scientists and product strategy & operation team to launch new App Ads products and features. Minimum Qualifications – BS/MS degree in Computer Science, Computer Engineering, or other relevant majors. – 3 years of hands-on experience with applying machine learning methods for ranking. – 3 years of software development experience and strong coding skills, especially in Python/C++. Experience with Tensorflow/PyTorch/MXNet is a plus. – Experience with recommender system projects. – Familiarity with online experimentation methods and analytics. Essential knowledge and skills in statistics. – Curiosity toward new technologies and entrepreneurship. |
Job Features
| Job Category | AI Engineering |
| Seniority | Junior / Mid IC |
| Base Salary | $176,000 - $276,000 |
| Recruiter | raine.yu@ocbridge.ai |
