Ai Research Scientist - Safety Alignment Team

Meta

Menlo Park, CA, United States
Not specified; not specified; not specified
Hybrid
Phd in computer science or machine learning
3+ years industry research experience in llm/nlp
Python programming and pytorch framework expertise
Meta is seeking an AI Research Scientist for its Safety Alignment team to advance safe AI development and deployment. The role involves designing safety alignment techniques, analyzing datasets, and collaborating with cross-functional teams to ensure AI products adhere to safety policies

Job Summary

  • The role focuses on pioneering robust safety alignment techniques to ensure the secure and responsible deployment of superintelligent AI.
  • Candidates will be responsible for creating high-quality datasets, fine-tuning large language models, and building scalable infrastructure for safety evaluation.
  • This position requires leading complex technical projects from end-to-end while collaborating with cross-functional partners to integrate safety into Meta's products.

Matching Summary

Match Score: 85

Meta is seeking an AI Research Scientist for its Safety Alignment team to advance safe AI development and deployment. The role involves designing safety alignment techniques, analyzing datasets, and collaborating with cross-functional teams to ensure AI products adhere to safety policies.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • PhD in Computer Science or Machine Learning
  • 3+ years industry research experience in LLM/NLP
  • Python programming and PyTorch framework expertise
  • Peer-reviewed publications at top AI conferences
  • Experience leading complex technical projects end-to-end

Nice-to-have

  • Hands-on experience with RLHF and reward modeling
  • Experience developing multilingual and multimodal models
  • Innovation in custom guideline enforcement and policy adaptation
  • Experience designing adversarial datasets for risk mitigation
  • Knowledge of distributed training across hundreds of GPUs

Key Requirements

  • Bachelor's degree in Computer Science or equivalent practical experience
  • PhD in Computer Science, Machine Learning, or related field
  • 3+ years of industry research experience in AI/ML
  • Proven track record as a technical lead on complex projects
  • Publications at peer-reviewed conferences like NeurIPS or ICML

Work Rights

Not specified

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