Large Language Model Engineer

Job Description

Develop and fine-tune large language models for AI safety. Join Anthropic's mission to build AI systems that are safe, beneficial, and understandable.

Requirements

• MS/PhD in Computer Science, Machine Learning, or related field
• 3+ years of experience with large language models and transformers
• Deep understanding of RLHF, constitutional AI, and safety techniques
• Experience with distributed training and large-scale model optimization
• Proficiency in Python, PyTorch, and CUDA programming
• Knowledge of model evaluation, alignment, and safety benchmarks
• Strong understanding of attention mechanisms and transformer architectures

Responsibilities

• Develop and fine-tune large language models using RLHF techniques
• Implement constitutional AI and safety-oriented training procedures
• Optimize distributed training pipelines for multi-billion parameter models
• Research and implement novel alignment and safety techniques
• Design evaluation frameworks for model safety and capability assessment
• Collaborate with research teams on AI safety and alignment projects
• Contribute to responsible AI development practices and methodologies