AI Applied Scientist PhD Intern – Generative Computer Vision
Zillow · Maurice
Descripcion del puesto
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.
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