Applied Scientist Intern - Trust and Safety (Multimodal Foundation Model) - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
Core
Research and build multimodal foundation models and agentic moderation systems to protect users from negative content using state-of-the-art machine learning.
Role type
PhD-level Applied Scientist (Research & Engineering)
Builds
Large-scale MoE multimodal safety foundation models and RL-driven agentic moderation systems
Domain
AI Safety, Content Moderation, Multimodal AI, Reinforcement Learning
Deliverable
production ML models
Required skills
Python, Rust, C++, deep learning frameworks (PyTorch, DeepSpeed, Megatron, vLLM), distributed computing, performance tuning, MoE architecture training, cross-modal alignment, reinforcement learning (GRPO/PPO), agent development, tool collaboration, adversarial robustness
Preferred skills
Published research papers, LLM community contributions, inference tuning, GPU/AI accelerator expertise, LLM application evaluation, PEFT, Chain-of-Thought (CoT), LangChain
Technologies
PyTorch, DeepSpeed, Megatron, vLLM, GRPO, PPO, MCP, GraphRAG, PEFT, LangChain
