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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)