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Ai Applied Scientist - Phd Intern, Generative Computer Vision

Germany, Munich · Job Posted May 26, 2026
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Job Description

We are seeking remote PhD interns for Summer 2026! As a PhD Research Intern, you will help train and adapt large models that better understand homes and users, advancing representation learning, multimodal modeling, computer vision and graphics for real‑world problems at Zillow scale. You’ll tailor and evaluate computer vision and generative models to our domain, build workflows that plan and act across multi‑step tasks, and define success via domain‑specific metrics. You’ll move quickly from prototype to impact, running rigorous offline evaluations and online experiments, collaborating with applied scientists, engineers, and product partners, and contributing to platform capabilities that power experiences like Zillow Copilot. Along the way you’ll author clear research docs, share results internally, and have opportunities to publish and present your work.

Job Responsibility

  • Research and develop methods for adapting 2D and 3D foundation models with Zillow’s domain-specific data
  • Build and evaluate generative models and 3D computer vision
  • Prototype generative and ML workflows
  • define metrics and run rigorous evaluations
  • Partner across science, engineering, product, and design
  • share results via docs, presentations, and publications

Requirements

  • Currently enrolled in a PhD program in Computer Science, Machine Learning, Artificial Intelligence or a related field with a strong research track record
  • Experience in Image, video, or 3D Diffusion Models
  • Sparse-view reconstruction, camera localization and scene understanding
  • Diffusion Planning
  • 3D Representations (Point Clouds, NeRFs, 3DGS)
  • Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face)
  • Clear communication and a collaborative mindset

Nice to have

Privacy-aware and responsible AI practices (e.g., fair-housing considerations)

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