Responsibilities
- Develop scalable machine learning systems to extract meaningful insights from diverse content types
- Build models for content categorization, labeling, and deep semantic analysis
- Generate accurate content enhancements using large language models and autonomous agent architectures
- Design infrastructure to deliver content intelligence outputs to internal teams and applications
- Enhance automated processes for ensuring content quality, safety, and metadata accuracy at scale
- Work closely with product, policy, and engineering groups to turn content insights into user-facing improvements
- Support the development of evaluation methodologies, data processing workflows, and data labeling systems
- Enable fast iteration to test and deploy novel content-based signals
- Strengthen system robustness, efficiency, and performance when handling vast datasets
Benefits
- health insurance
- six-month paid parental leave
- 401(k) retirement plan
- monthly meal allowance
- 23 paid days off
- 13 paid flexible holidays
- paid sick leave
Work Arrangement
Hybrid — New York, NY
Other
- Flexibility to work from home with some in-person meetings
- Position based in New York, NY
