PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields preferred or strong industry experience in similar fields, ideally with familiarity with Asia-Pacific/Singapore research resources.
Support the development of AI-enabled products from concept through delivery, with a focus on quality, usability, scalability, and responsible implementation
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field, with 2-3 years of experience building AI, Machine Learning, or data engineering solutions in production environments
Integrate AI Agents into daily R&D workflows and explore their applications in scenarios such as coding assistance, intelligent debugging, automated testing, issue troubleshooting, and business process automation.
Building and maintaining key relationships in the international arenaYou will be expected to manage a diverse range of responsibilities which may include policy analysis, strategy development, and engaging foreign counterparts.
Construct multimodal semantic links across video-product, product-product, and video-video relationships to support trend understanding, product mining, AIGC generation, and content-commerce supply optimization.
Ability to work independently and manage multiple workstreams in a fast-paced, dynamic environment while maintaining focus on long-term strategic outcomes.
Professional Development: Gain access to Foodpanda's e-learning tools and internal training modules to enhance your leadership and project management capabilities.
Review and approve AI solution architectures, code quality, prompt engineering standards, and integration patterns to ensure scalability and maintainability.
Engineer Enterprise Knowledge Systems: Build and maintain knowledge platforms spanning codebases, architecture repositories, documentation, operational runbooks, and post-mortems to power context-aware AI agents and workflows.
Problem Solving for Governance Applications: Address challenges such as long text/sequence modeling, few-shot learning, content moderation, violation detection, and policy recommendation using large models and multimodal approaches.