Senior Algo Engineer - E-commerce Recommendation Team

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:

The Shopee E-commerce Recommendation Algorithm Team is dedicated to enhancing the user experience across all recommendation scenarios amid a continuously growing user and product base. We are committed to building a world-class recommender system, leveraging cutting-edge technologies to drive performance improvements, and continuously exploring best practices for large-scale deep neural network-based recommender systems. If you share our passion for e-commerce and recommender systems, we invite you to join us in developing an unprecedented recommender system for e-commerce.

Job Description:

• Algorithm Development: Design and develop innovative recommendation algorithms tailored to various e-commerce scenarios to enhance user experience and conversion rates.


• Model Optimization: Continuously iterate and optimize existing models to improve efficiency, accuracy, and scalability.


• Data Analysis: Conduct in-depth analysis of user behavior data to uncover user preferences and improve model effectiveness.


• Business Insight: Understand business goals and design algorithmic solutions that align with and support these objectives.


• Innovation & Trends: Stay up-to-date with the latest developments in recommender systems and related technologies, and explore opportunities to integrate state-of-the-art (SOTA) methods.

Requirements:

• Bachelor’s degree or above in Computer Science or a related field


• Over 2 years of experience in search, recommendation, or advertising system


• Strong coding skills; familiar with Linux systems and proficient in C++ and/or Python


• Solid foundation in machine learning theory; familiar with common recommendation models; experienced with deep learning frameworks such as TensorFlow, Caffe, MXNet, or PyTorch


• Self-motivated, resilient under pressure, and eager to drive business breakthroughs.


• Excellent communication and teamwork skills