Week 2025-W05

Anthropic· 4 roles

• Research Engineer, Tokens (Pre-training) Pretrain · Research 9
  Research Engineer focused on pretraining data for large-scale AI models. Responsibilities include understanding data trends, scaling laws, optimizing data mixes, exploring new data sources, building research tools for analysis, and effective data processing. Strong software engineering and empirical research skills are required.
• Team Manager, Alignment RL Post-train · Engineering 9
  Manager for a team developing and implementing AI alignment techniques, focusing on improving model values and behavior for hard-to-evaluate tasks. The role involves driving execution of alignment initiatives, supporting team growth, and ensuring collaboration across research. Key activities include implementing and scaling techniques like oversight, synthetic data generation, and training models to assist in model training, aiming to accelerate the deployment of alignment advances into frontier models.
• Research Scientist/Engineer, Alignment Finetuning Post-train · Research 9
  Research Scientist/Engineer focused on developing and implementing novel finetuning techniques to train language models for better alignment with human values (honesty, character, harmlessness). This involves using synthetic data generation, advanced training pipelines, and creating evaluation frameworks to measure alignment properties. The role also includes integrating improvements into production models and automating/scaling team workflows.
• Research Scientist, Societal Impacts Eval Gate · Research 9
  Research Scientist focused on empirical studies of AI's societal impacts, developing measurement systems and evaluation frameworks, and translating insights into product/policy recommendations. This role involves both quantitative and qualitative methods, with a focus on areas like economics, well-being, education, and alignment.