Researcher, Post Training

Cartesia is pioneering AI technologies that learn and interact like humans. As a Researcher on the Post-Training team, you will develop methods and systems to improve the adaptability and alignment of multimodal models, focusing on preference optimization and model evaluation.

Responsibilities:

• Own research initiatives to improve the alignment and capabilities of multimodal models
• Develop new post-training methods and evaluation frameworks to measure model improvement
• Partner closely with research, product, and platform teams to define best practices for creating specialized models
• Implement, debug, and scale experimental systems to ensure reliability and reproducibility across training runs
• Translate research findings into production-ready systems that enhance model reasoning, consistency, and human alignment