Principal Applied Scientist
Tasks
- Build large scale retrieval models
- Define scientific direction for recommender and decisioning systems
- Develop foundation model powered recommendation systems
- Drive technical strategy and investment roadmap
- Elevate scientific rigor and technical standards
- Improve relevance user value advertiser outcomes and system efficiency
- Influence product engineering and partner science organizations on technical direction
- Lead invention incubation and productionization of machine learning systems
- Mentor scientists and engineers
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Workflows | Cross-Functional Collaboration | Cross-functional | Foundation Models | Functional collaboration | Information Retrieval | Machine Learning | Optimization | Ranking | Recommender Systems | Retrieval models | Trust and Safety
Education
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