D. or equivalent experience in Computer Science or a related field, with a focus on LLM, Agentic System, or Machine Learning\n \n\n 2+ years of experience in building large-scale, high-impact ML solutions, particularly in areas such as NLP, agent-based systems, or multi-agent collaboration or similar paradigms\n \n\n Experience in developing and working with LLM reasoning models or AI agents capable of multi-step reasoning and context-rich decision-making\n \n\n Strong background in rigorous experimental design and evaluation, including benchmark creation, ablation studies, qualitative and quantitative analysis, and principled measurement of reasoning quality, generalization, and safety\n \n\n* Track record of publishing high-impact research in top AI/ML venues\n \n\n \nGet to know us\n \nAt Zillow, we're reimagining how people move\u2014through the real estate market and through their careers. \n\n Define and refine evaluation and experimentation processes for LLM-driven applications.\n \n\n Stay at the forefront of agentic AI research and innovation, bringing emerging techniques into practical application to shape product direction.\n \n\n Contribute to the broader scientific community through publications, conference presentations, and internal knowledge sharing\n \n\n Mentor and guide junior scientists and engineers, promoting best practices in applied research, scalable agentic architecture, and responsible AI development.\n \n\n \nThis role has been categorized as a Remote position.