Summary

Lovable is hiring an AI research engineer to own post-training for code-generation and agent workloads, using reinforcement learning, preference optimization, and supervised fine-tuning. The role spans distributed GPU infrastructure, evaluation, deployment, and production debugging; the working arrangement is not specified.

Responsibilities

• Own the post-training pipeline lifecycle
• Curate data and run training jobs
• Adapt reinforcement learning and preference methods
• Build model evaluation and experimentation infrastructure
• Operate distributed training and GPU systems
• Deploy and monitor models in production
• Investigate end-to-end training and serving failures