- Improve retrieval, filtering, ranking, relevance, and speed across creator profiles and media files.
- Build systems that generate and use embeddings from images, video, text, and audio at scale.
- Evaluate models and technologies against cost, latency, and quality tradeoffs.
- Move promising search approaches from experiments into reliable production systems.
- Gather requirements, shape problems, and design system architecture.
- Write, release, measure, and improve end-to-end search solutions.
- Investigate search relevance issues and production regressions across models, data, query logic, and product decisions.
- Collaborate with Data Core, Data Insights, product teams, customers, and company leadership.
Distributed Systems