Zillow

Principal Applied Scientist role focused on RL post-training for production models. Leads design and deployment of learning systems to shape model behavior, aligning with user value, safety, and business objectives. Involves supervised fine-tuning, preference modeling, RL-based alignment (RLHF, RLAIF, DPO), reward model development, and translating data into training signals. Partners with model/platform teams on training/evaluation efficiency and mentors other scientists.

PhD Intern role focused on applied generative modeling and 3D computer vision, involving training and adapting large models for understanding homes and users. The role will tailor and evaluate computer vision and generative models, build workflows for multi-step tasks, and define success via domain-specific metrics, with opportunities for publication.

PhD intern role focused on adapting 2D/3D foundation models and building/evaluating 3D computer vision and generative models for Zillow's real estate domain. The role involves research, prototyping, rigorous evaluations, and potential publication, with a focus on representation learning and multimodal modeling for real-world problems.