Week 2025-W29

Anthropic· 3 roles

• Research Engineer, Model Performance & Quality Eval Gate · Research 9
  Research Engineer focused on systematically understanding and monitoring model quality in real-time. This role involves training production models, developing monitoring systems, and creating novel evaluation methodologies, bridging research and production across the model training pipeline.
• Research Engineer, CLIO Data · Engineering 9
  Machine Learning Systems Engineer to join the Encodings and Tokenization team, focusing on developing and optimizing tokenization systems for Pretraining and Finetuning workflows. This role builds infrastructure impacting model learning and data interpretation, bridging Pretraining and Finetuning teams.
• Research Engineer / Scientist, Model Welfare Post-train · Research 9
  Research Engineer/Scientist focused on understanding, evaluating, and mitigating potential welfare and moral status concerns of AI systems. This involves technical research projects on model characteristics relevant to welfare, designing interventions, and collaborating with other AI safety and alignment teams. The role also involves improving and expanding welfare assessments for frontier models and potentially deploying interventions into production.