Senior Staff AI Research Scientist

About the Role Intuit's AI Research team develops novel AI/ML solutions that power intelligent experiences across Intuit's ecosystem of products. We are seeking a Senior Staff AI Research Scientist to shape and drive research in areas including decision-focused AI, probabilistic modeling, causal inference, simulation-based planning, agentic and multi-agent systems, neuro-symbolic AI, and LLM-based reasoning for business decision workflows. You will mentor junior researchers, establish collaborations, and translate research breakthroughs into customer value. What You'll Do

• Lead and define the research agenda in one or more focus areas, identifying high-impact problems and charting a path from exploration to impact
• Conduct original research in decision-focused AI, probabilistic modeling, causal inference, simulation-based planning, agentic and multi-agent systems, neuro-symbolic AI, deep learning, and/or LLM-based reasoning for business decision workflows
• Drive research programs across multiple concurrent workstreams, providing technical direction and ensuring coherence across projects
• Publish research findings in top-tier venues and represent Intuit's research contributions to the broader scientific community
• Collaborate with product and platform teams to translate research innovations into platform or customer-facing AI capabilities
• Mentor junior researchers, elevating the team's technical depth and research quality
• Identify and establish strategic research collaborations with academic institutions and external partners
• Contribute to the team's intellectual culture through reading groups, seminars, and internal knowledge sharing What We're Looking For
• PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field
• 8+ years of post-PhD AI/ML research experience with a strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR, AAAI, KDD, ACL)
• Deep expertise in one or more of the following areas: decision-focused AI; probabilistic modeling; causal inference; simulation-based planning; agentic and multi-agent systems; neuro-symbolic AI; deep learning; and/or LLM-based reasoning for business decision workflows
• Ability to lead research programs across multiple concurrent workstreams and translate research into platform or customer-facing AI capabilities
• Excellent collaboration, mentorship, and communication skills to work with product/platform teams and external partners