AI Applied Scientist - PhD Intern, Evaluation Systems and Metrics

We are seeking remote PhD interns for Summer 2026 to help develop cutting-edge evaluation methodologies for AI systems. The role involves creating robust, scalable metrics and frameworks to assess the quality, consistency, and performance of generative models across multiple modalities.

Requirements

• Currently enrolled as a PhD student in computer science, machine learning, computer vision, or a related field, with strong publication record
• Background in one or more of the following areas: evaluation methodologies for AI/ML systems, computer vision metrics and 3D consistency assessment, generative model evaluation, multi-modal assessment and automated feedback systems, knowledge of data privacy methods
• Familiarity with modern deep learning frameworks (e.g., PyTorch, Hugging Face Transformers)
• Strong research mindset, with motivation to publish
• Interest in applying AI to complex, multi-stakeholder domains

Benefits

• Remote work option
• Opportunity to work with a leading company in the real estate industry
• Collaborative and innovative work environment
• Equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status