About The Team

About the team

Established in 2016, the Shopee Advertising Team is responsible for the commercial monetisation of Shopee's advertising across all its markets. Based in Singapore and Beijing, our team consists of members from renowned global internet companies and prestigious universities. Our primary mission is to support the company's long-term commercial growth while balancing user experience with effective monetization. Our key tasks include building real-time data feedback systems, developing large-scale distributed advertising services, creating leading predictive models, and establishing healthy advertising mechanisms. We maintain a strong learning and sharing culture and invite passionate, self-driven individuals to join us in our continuous innovation and commitment to serving global users effectively.

The algorithm team aims to serve advertisers and users on the e-commerce platform to meet ads sellers business indicators and improve buyers engagement. By cooperating with sellers and buyers, we aim to provide high-quality personalized & relevant ads results for Shopee buyers and improve sellers ads exposure and sales.

Our team is at the forefront of developing cutting-edge machine learning solutions to improve matching and monetisation efficiencies. We work on a diverse range of ads placements, offering our team members the opportunity to broaden their skills and knowledge in multiple areas.

Job Description

Participate in the development of a large-scale Ads system
Build industry-leading algorithms to improve ads pipelines for paidads, including recall/pre-rank/ranking etc.
Involved in the design, development and maintenance of machine learning training data jobs for advertising.
Design and implement, deliver machine learning models to production to ensure our algorithms give real impact to ads business.
Research and develop Ads Bidding algorithms, ads traffic control, etc
Responsible for the design and implementation of algorithms focused on user acquisition, activation, and retention for both new and existing customers.
Collaborate with cross-functional teams, including software engineers, product managers, to integrate machine learning/strategy solutions into the production.

Requirements

Bachelor's degree or higher in Computer Science, Data Science, Machine Learning, or a related field.
2+ years of experience with search/recommendation/ads systems and various machine learning algorithms, especially for matching/ranking models, such as DSSM, DIN, MMoE.
Experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, etc. And experience with LLM libraries, such as hugging face, vLLM, etc.
Knowledge of data analysis,feature engineering and model training/evaluation/distill/finetune/deployment.
Skilled in applying causal inference techniques and building uplift models to optimize marketing strategies and user engagement.
Excellent problem-solving and analytical thinking abilities, with a focus on delivering practical and scalable solution
Familiar with Python, Spark, Hive, Tensorflow, etc.

Algo / Machine Learning Engineer, Senior Engineer (User Growth & Acquisition) - Paid Ads