San Jose, US-United States, Seattle, US-United States
Posted 1 month 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. About The Team E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on our Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. We are a group of applied machine learning engineers and data scientists that focus on E-commerce recommendations. We are developing innovative algorithms and techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions. We are interested and excited in applying large scale machine learning to solve various real-world problems in E-commerce. Responsibilities – Lead the team to design, build, optimize large-scale (10 million to 100 million) e-commerce recommendation algorithm pipeline – Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users’ latent interests efficiently. – Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation. – Build, expand and manage the global e-commerce recommendation team from scratch – Collaborate with strategy team, product managers, policy team and ops team to define products and drive initiatives from engineering viewpoints Minimum Qualifications – Bachelor’s degree in Computer Science or related technical field – 3+ years of working experience in one of the following fields: recommendation system, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields. – Experience in leading an engineering team – Strong sense of responsibility and good at communication and teamwork – Passionate about solving complex and challenging problems |
Job Features
| Job Category | AI Engineering |
| Seniority | Staff IC / Senior Staff IC / Architect |
| Base Salary | $180,000 - $280,000 |
| Recruiter | levana.lyu@ocbridge.ai |
