Senior AI Engineer - Promotion

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.

• Work closely with the promotion product team, business partners, and internal stakeholders to identify marketplace growth challenges, uncover actionable insights, and deliver practical, scalable solutions based on large-scale user and product data.
• Drive the development and optimization of smart voucher dispatching strategies across various campaign scenarios by leveraging advanced deep learning, causal inference, and operations research techniques
• Collaborate with product and engineering teams to design and build end-to-end machine learning pipelines to power data-driven decision-making for promotions and campaign planning.
• Work on core solutions related to personalized recommendations, promotion and voucher configuration optimization, campaign budget planning, and product demand forecasting.
• Develop, iterate, and maintain machine learning models, including those based on deep learning, reinforcement learning, and multi-armed bandit frameworks, applied in areas such as recommendation, search, and ads ranking.
• Conduct rigorous online and offline evaluations, including A/B testing, to ensure model effectiveness and business impact.

• Bachelor’s Degree or above in Computer Science, Engineering, Mathematics, Statistics, or other related fields.
• Minimum 1 years experience in uplift modelling and/or causal inference.
• Experience in Tensorflow/Pytorch machine learning framework and conducting production environment A/B test.
• Good communication skills with demonstrated ability to deliver and explain technical content to stakeholders.
• Ability to deliver quality work under a tight timeline
• Teamwork mindset and ability to work closely with cross-functional teams.