San Jose, US-United States, Seattle, US-United States
Posted 3 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. Our 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. Our E-ecommerce Recommendation Infra team is responsible for building up and optimizing the infrastructure for such recommendation systems, so as to provide the most stable and best experience for our users. We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and techniques. Responsibilities – Build industry-leading globalized large-scale recommendation system; – Design and build high performance online systems and reliable data pipelines; – Optimize and evolve the system continuously so as to support the skyrocket increase in both user traffic as well as the data amount; – Work with cross functional teams to deliver end-to-end infrastructure solutions to address critical product challenges and improve recommendation performance. Minimum Qualifications – Bachelor’s degree in Computer Science or equivalent practical experience – 4 years of experience in software development, and with data structures/algorithms – 2 years of experience with design and architecture, and testing and launching software products Preferred qualifications – 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with compute technologies, storage, and/or hardware architecture – 3 years of experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects – Experiences in data platform related products development or big data technologies (such as Hadoop, Clickhouse, Flink etc.) |
Job Features
| Job Category | Backend |
| Seniority | Senior IC / Tech Lead |
| Base Salary | $136,800 - $280,000 |
| Recruiter | lisa.yu@ocbridge.ai |
