Lead Data Scientist - AI-Human Interaction

Candidates must possess a Master's Degree and over 4 years of experience in research/ML engineering or an applied research scientist role, with a focus on production-ready AI solutions. A minimum of 2 years of experience leading AI/ML system development is required, along with a proven track record of building production-grade AI models that yield strong UX and behavioral outcomes. Expertise in supervised learning, reinforcement learning from human feedback (RLHF), or preference modeling is essential, as are strong communication skills to effectively collaborate across data science, product, and engineering teams. Proficiency in SQL, Python, and data analysis/data mining tools, experience with machine learning frameworks like Pytorch, JAX, LangChain, or LangGraph, and experience with high performance, large-scale ML systems and language modeling with transformers are also necessary. Additionally, candidates should have experience with large-scale ETL and over 5 years of experience in applied ML, with at least 3 years in conversational AI, human-in-the-loop systems, or agent UX optimization.