San Jose, US-United States, Seattle, US-United States
Posted 3 weeks 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 The Recommendation Infrastructure Team is responsible for building up and optimizing the infrastructure for our recommendation system to provide the most stable and best experience for our users. This team builds stable, efficient, flexible and general-purpose recommendation systems, platforms and data applications to support the rapid iteration and growth of our products. We are looking for a Tech Lead who is excited to dive deep into complex challenges in the recommendation and big data spaces and be able to provide technical leadership to key projects. You will be responsible for building and leading the recommendation infrastructure, and have the opportunity to partner closely with a globalized engineering teams in a high-impact and fast-paced environment. Responsibilities – What You’ll Do – Grow and lead a team of engineers committed to creating innovative distributed systems to empower large-scale recommendation and machine learning systems; – Build extremely efficient, scalable and reliable online systems and 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 and key stakeholders to define roadmap, drive initiatives and deliver end-to-end infrastructure solutions to address critical product challenges and improve recommendation performance; – Support recommendation global development and operation with reliable and scalable infrastructure. Qualifications – Bachelor’s degree or above, majoring in Computer Science, or related fields; – 5+ years of engineering experience in building large-scale distributed systems with 1+ years of engineering technical leadership experience; – Excellent programming, troubleshooting, and optimization skills in one or more general purpose programming languages including but not limited to: C/C++, Java, Python. – Experienced in at least one area of the following areas: personalized recommendations, search engine, advertising, machine learning infrastructure, distributed storage systems, big data frameworks; – Ability to think critically and to formulate solutions to problems in a clear and concise way; – Effective communication skills and a sense of ownership and drive. |
Job Features
| Job Category | Backend |
| Seniority | Staff IC / Senior Staff IC / Architect |
| Base Salary | $180,000 - $280,000 |
| Recruiter | tony.gill@ocbridge.ai |
