This role pays more than
85%
of similar roles. Most pay
$162,000–$251,400
— the shaded band above.
At the midpoint, this role pays about
$266k
versus about
$207k
for comparable roles.
Based on 240 similar postings.
Employer
About Intuit
Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology
Intuit currently has
174 open roles
on FindRole.
Listed pay typically runs
$202,500–$274,000
across 152 roles with salary data.
The Senior Staff AI Research Scientist joins the AI Research team to shape and drive the research agenda across several key domains. You will lead projects, define technical directions, and mentor junior researchers while translating research breakthroughs into customer value for business decision workflows. Your daily work involves conducting original research in areas such as decision-focused AI, probabilistic modeling, causal inference, simulation-based planning, agentic and multi-agent systems, neuro-symbolic AI, and LLM-based reasoning. You will publish findings in top-tier venues and collaborate with product teams to build platform capabilities. The role requires a PhD and expertise in deep learning, optimization, and statistical machine learning. You must be proficient in Python and ML frameworks like PyTorch or TensorFlow while demonstrating the ability to lead multiple concurrent workstreams and establish strategic collaborations with academic institutions and external partners.
Define and lead the research agenda for high-impact areas like decision-focused AI and LLM reasoning.
Conduct original research in fields such as causal inference, probabilistic modeling, and multi-agent systems.
Manage multiple concurrent research workstreams while providing technical direction to ensure project coherence.
Publish research findings in top-tier venues and represent Intuit's contributions to the scientific community.
Translate research innovations into practical platform features and customer-facing AI capabilities.
Mentor junior researchers to improve the team's technical depth and overall research quality.
Establish strategic research collaborations with academic institutions and external partners.
What we're looking for
PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field.
8+ years of post-PhD research experience in AI/ML.
Strong record of publications in top-tier conferences and journals such as NeurIPS, ICML, ICLR, AAAI, KDD, or ACL.
Deep expertise in areas like decision-focused AI, probabilistic modeling, causal inference, simulation-based planning, agentic systems, neuro-symbolic AI, or LLM-based reasoning.
Strong fundamentals in deep learning, optimization, and statistical machine learning.
Demonstrated ability to lead research projects and provide technical direction across multiple projects and researchers.
Proficiency in Python and ML frameworks like PyTorch or TensorFlow.
Proven track record of translating research into real-world impact in an industry setting.
Machine Learning
Deep Learning
Python
R
scikit-learn
SQL
Hive
SparkSQL
NLP
ETL
Statistical Modeling
Support Vector Machines
Data Mining
Linux
Clustering
Regression
Decision Trees