Applied Scientist - Trust and Safety (Multimodal Foundation Model) - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
San Jose, California, United States
USD 212K-425K (estimate) None Full Time
Tasks
- Build multimodal safety foundation models
- Design context engineering for moderation
- Develop interpretable closed loop reasoning
- Develop multi step agent decision making
- Enhance adversarial robustness for AIGC detection
- Fuse heterogeneous evidence sources
- Generate synthetic moderation data
- Implement cross modal alignment and reasoning
- Improve generalization across languages
- Integrate tool ecosystem for moderation agents
- Optimize MoE training and routing
- Retrieve information with graph RAG
- Train agentic moderation systems with reinforcement learning
Perks/Benefits
Skills/Tech-stack
Adversarial Robustness | Agent learning | Audio Processing | Computer Vision | Content Moderation | Cross-modal alignment | Data Generation | Deep learning | GRPO | GraphRAG | Language Processing | Machine Learning | Mixture of Experts | Multimodal Learning | Natural Language | Natural Language Processing | PPO | Python | Reinforcement Learning | Synthetic Data Generation | Synthetic data
Education
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