Transforming the real estate industry by helping millions of people use AI technologies to move into their next home
Requirements
- Ph.D. or equivalent experience in Computer Science or a related field, with a focus on reinforcement learning, AI planning, or natural language processing
- 4+ 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
- Experience in developing and working with LLM reasoning models or AI agents capable of multi-step reasoning and context-rich decision-making
- Experience with reinforcement learning and LLM fine-tuning
- Track record of publishing high-impact research in top AI/ML venues
Responsibilities
- Design, prototype, and build advanced agentic systems capable of highly autonomous, context-aware, and adaptive interactions across diverse real estate use cases
- Apply reinforcement learning and fine-tuning techniques to develop agents that can reason, collaborate, compete, or negotiate in dynamic, goal-driven environments to fulfill user needs
- Define and refine evaluation and experimentation processes for LLM-driven applications using offline metrics, human-in-the-loop assessments, and A/B testing to balance rapid innovation with reliability and responsible deployment
- Stay at the forefront of agentic AI research and innovation, bringing emerging techniques into practical application to shape product direction
- Contribute to the broader scientific community through publications, conference presentations, and internal knowledge sharing
- Mentor and guide junior scientists and engineers, promoting best practices in applied research, scalable agentic architecture, and responsible AI development
Other
- Ph.D. or equivalent experience in Computer Science or a related field
- 4+ years of experience in building large-scale, high-impact ML solutions
