Senior Staff AI Research Scientist

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Intuit's AI Research team develops novel AI/ML solutions that power intelligent experiences across Intuit's ecosystem of products. The team conducts applied and fundamental research across 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, partnering with product and platform teams to translate research breakthroughs into customer value.

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We are looking for a Senior Staff AI Research Scientist to shape and drive the research agenda in one or more of these areas. In this role, you will lead research projects that span multiple workstreams, define technical direction for your area of expertise, and deliver research outcomes that influence Intuit's AI strategy. You will mentor junior researchers, establish collaborations across the organization, and serve as a recognized technical authority both within the team and externally.

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

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Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The expected base pay range for this position is:

Mountain View $226,000 - $306,000

San Diego, CA $211,500- $286,000