Solve Ads issues while maintaining high-quality and low-latency performance standards.

Collaborate with Ads and Research teams to design and implement solutions.

Utilize various AI technologies, including Agentic AI, Large Language Model (LLM) fine-tuning, and Large Embedding Model (LEM) optimization.

Work alongside AI/ML experts from various fields to address critical advertising problems.

Publish novel research and share technical insights with the global academic community.

PhD degree in Computer Science, a related field, or equivalent practical experience.

2 years of experience leading a research agenda.

Experience in one or more areas of Machine Learning, such as AI algorithms, AI platforms or Generative AI Agents.

One or more scientific publication submissions for conferences, journals, or public repositories (such as NeurIPS, ICML, ICLR, COLM, ACL, EMNLP, NAACL, CVPR, etc.).