Applied Scientist - Trust and Safety (Multimodal Foundation Model) - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
Seattle, Washington, United States
USD 212K-425K (estimate) None Full Time
Tasks
- Align text image video and audio modalities
- Assemble dynamic moderation context
- Assess generalization across languages
- Build multimodal moderation foundation models
- Design multi dimensional reward signals
- Detect adversarial AIGC content
- Generate high quality synthetic moderation data
- Implement GRPO
- Implement PPO
- Integrate tool ecosystems for agent workflows
- Optimize routing for sparse MoE
- Retrieve evidence using GraphRAG strategy
- Train Mixture of Experts architectures
- Train reinforcement learning agent decision making
Perks/Benefits
- N/A
Skills/Tech-stack
AIGC Detection | Adversarial Learning | Agentic Systems | Cross-modal alignment | GRPO | GraphRAG | Machine Learning | Mixture of Experts | Multimodal Learning | PPO | Python | Reinforcement Learning | Tool use
Education
Roles
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