Senior Staff AI Research Scientist

Responsibilities

• 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

Qualifications

• PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field
• 8+ years of post-PhD research experience in AI/ML, with a strong record of publications in top-tier conferences and journals (e.g., NeurIPS, ICML, ICLR, AAAI, KDD, ACL)
• Deep expertise in one or more of the following: decision-focused AI, probabilistic modeling, causal inference, simulation-based planning, agentic and multi-agent systems, neuro-symbolic AI, LLM-based reasoning
• Strong fundamentals in deep learning, optimization, and statistical machine learning
• Demonstrated ability to lead research projects and to provide technical direction across multiple projects and researchers
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or equivalent)
• Strong communication and interpersonal skills; ability to influence across teams and present research to both technical and non-technical audiences
• Track record of translating research into real-world impact in an industry setting

Preferred Experience

• As a tech lead in research
• Active engagement with the research community (program committees, reviewing, workshops)
• Familiarity with Intuit's product domains: tax preparation, accounting, personal finance, or small business management