Define and execute the long-term strategy for Foundation Recommender Model pre-training, encompassing both model architecture evolution and future training methodologies.

Drive a high-velocity research agenda focused on model quality, strategically prioritizing experiments based on compute capacity and researcher bandwidth.

Partner with ML infrastructure teams to architect training frameworks and ensure the technical ecosystem supports the research and release roadmap.

Collaborate with data teams to plan data collection for pre-training, setting the standards for data quality and scale required to meet foundational model objectives.

Establish robust evaluation benchmarks and maintain engaged leaderboards to track progress against baselines and ensure industry-leading performance.

Bachelor’s degree or equivalent practical experience.

8 years of experience in software development.

5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

2 years of experience in research, leading multiple research efforts and influencing research direction related to Foundation Models, Large Language Models, etc.

Experience with Transformer-based models (e.g., BERT, T5, GPT, ViT), attention mechanisms, and architectural variations.