Description
The Engineering and Technology team is at the core of the Shopee platform development. The team is made up of a group of passionate engineers from all over the world, striving to build the best systems with the most suitable technologies. Our engineers do not merely solve problems at hand; We build foundations for a long-lasting future. We don't limit ourselves on what we can or can't do; we take matters into our own hands even if it means drilling down to the bottom layer of the computing platform. Shopee's hyper-growing business scale has transformed most "innocent" problems into huge technical challenges, and there is no better place to experience it first-hand if you love technologies as much as we do.
About the Team:
You will be joining the Shopee E-commerce Search Engineering Team. The team is responsible for the systems that handle search services for billions of users on the Shopee platform, addressing challenges related to international cross-border/local market search and algorithm model training and inferencing. We are currently focused on extracting value from data, developing popular search products for consumers, and enhancing search experience and efficiency. We welcome capable R&D engineers and architects to join us in creating faster, more accurate, and user-friendly search products.
Job Description:
- Responsible for the development and maintenance of Shopee's e-commerce search user-end products, efficiently supporting business operations and continuously improving the user search experience.
- Participate in the evolution of the search backend systems and architecture, continuously enhancing performance, stability, and resource efficiency to safeguard business-side innovations and improve personal technical skills.
- Stay updated on the latest trends in search business and technology, responsible for the introduction and implementation of new technologies, providing more possibilities for business innovation.
Requirements:
- Possess a bachelor degree in Computer Science, Software Engineering, or other related fields.
- 2+ years of hands-on experience in personalized recommendation, search, or ad recommendation systems
- Possess strong knowledge of data structures and algorithms, as well as system design skills, and be familiar with Linux-based development and common technical components.
- Passionate about technical challenges, self-driven, and able to deliver project requirements on time.
- Excellent communication skills, an efficient team collaborator, and highly responsible.