AI Applied Scientist PhD Intern – Generative Computer Vision

About the role

Join a Munich‑based applied AI team at Zillow to work on cutting‑edge generative modeling and 3D computer vision. As a PhD Research Intern you will adapt large foundation models to Zillow’s real‑estate data, advancing representation learning, multimodal modeling, and graphics for real‑world applications.

Key responsibilities

• Research and develop methods to adapt 2D and 3D foundation models using domain‑specific datasets.
• Build, prototype, and evaluate generative and computer‑vision models for indoor scene understanding.
• Define domain‑specific metrics and run rigorous offline and online evaluations.
• Collaborate with applied scientists, engineers, product managers, and designers, sharing results through documentation and presentations.
• Contribute to platform capabilities such as Zillow Copilot and pursue opportunities to publish research.

Required profile

• Enrolled in a PhD program in Computer Vision, Machine Learning, Graphics, or a related field.
• Strong research background with publications in top conferences (e.g., CVPR, ICCV, NeurIPS, 3DV) is a plus.
• Ability to work independently and move quickly from prototype to impact.
• Excellent written and verbal communication skills in English.

Required skills

• Experience with 2D and 3D foundation models.
• Knowledge of generative modeling and computer‑vision techniques.
• Familiarity with multimodal representation learning.

What we offer

• 12‑week paid internship during Summer 2026.
• Flexible work arrangements (remote, hybrid, or onsite in Munich).
• Direct mentorship from senior Applied Scientists.
• Access to large‑scale indoor datasets and compute resources.
• Integration into Zillow’s research community with regular meetings and demo sessions.