Algorithm Engineer: AI-Driven Promotions & Campaigns

Shopee; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Shopee in Singapore is seeking a machine learning-focused professional to join the SRA Promotion team. The role centers on building scalable data products to promote the marketplace, analyzing large-scale user and item data, and delivering data-driven insights for campaign planning and personalization.

You will collaborate with product and engineering teams to deploy end-to-end ML pipelines, apply LLMs and agents, and evaluate campaigns using online/offline experiments to maximize impact.

Qualifications

• Bachelor’s degree or above in Computer Science, Engineering, Mathematics, Statistics, Biostatistics, or related fields.
• Proficiency in at least one programming language (e.g., Python, Golang, Scala) and Unix/Linux systems.
• Experience working with large datasets and complex data analysis using SQL, Python.
• Knowledge of optimization, classical machine learning (classification, regression, clustering), deep learning, and reinforcement learning.
• Good understanding of LLMs and agents, having practical project experience is a plus.
• Experience with TensorFlow/PyTorch, distributed data processing frameworks (e.g., Hadoop, Spark).
• Good communication skills with ability to explain technical content to stakeholders.
• Teamwork mindset and ability to collaborate with cross-functional teams.

Responsibilities

• 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.
• 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.
• Apply cutting-edge AI technologies such as LLMs, Agents, and RL to improve efficiency of building e-commerce campaigns.
• 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.

Skills

Python

Golang

Scala

SQL

Unix/Linux

Communication

Education

Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Biostatistics, or related fields

Tools

TensorFlow/PyTorch

Hadoop

Spark

LLMs/Agents

Job description

Shopee in Singapore is seeking a machine learning-focused professional to join the SRA Promotion team. The role centers on building scalable data products to promote the marketplace, analyzing large-scale user and item data, and delivering data-driven insights for campaign planning and personalization.

You will collaborate with product and engineering teams to deploy end-to-end ML pipelines, apply LLMs and agents, and evaluate campaigns using online/offline experiments to maximize impact.