Staff AI Scientist
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Before you apply
Salary$202k – $273k
LocationNew York, New York, United States
Work modeon-site
Typefull-time
SeniorityLead
Experience4+ yrs
DepartmentIntuit AI team
Company size10,000+ people
First seenMay 6, 2026 · 6mo ago
Verified live1w ago
May no longer be actively hiring
First seen on the company's careers page 184 days ago
At a glanceSummarised by Seekless from the posting.
4+ years of industry experience with AI science
BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent
4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization
Proficient in NLP techniques, Explainable AI, and ML frameworks
Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R
Efficient in SQL, Hive, SparkSQL, etc.
Comfortable working in a Linux environment
Experience with building end-to-end reusable pipelines from data acquisition to model output delivery
Quick learner, adaptable, with the ability to work independently in a fast-paced environment
Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users
Skills
Python
Scala
Java
R
SQL
Hive
SparkSQL
Linux
Benefits
Health insurance
401(k)
Unlimited PTO
Remote stipend
About the role
Intuit is looking for an innovative and hands-on Staff AI Scientist to join the Intuit AI team.
Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches.
Responsibilities
•
Practices leadership and communication skills to influence teams and to evangelize AI science across the organization
•
Collaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
•
Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team’s work, and holding the team accountable for high quality code, git, design, costs and implementation standards
•
Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them “model-ready”. You need to be willing and able to do your own ETL and design/build featurization.
•
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
•
Runs A/B tests to draw conclusions on the impact of your team’s work and communicates results to peers and leaders
•
Communicates with partners to ensure successful delivery and integration of DS solutions.
•
Proactively researches, explores, and enables new ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
Qualifications
•
4+ years of industry experience with AI science
•
BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent
•
4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.
•
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.
•
Proficient in NLP techniques, Explainable AI, and ML frameworks.
•
Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.
•
Efficient in SQL, Hive, SparkSQL, etc.
•
Comfortable working in a Linux environment
•
Experience with building end-to-end reusable pipelines from data acquisition to model output delivery
•
Quick learner, adaptable, with the ability to work independently in a fast-paced environment
•
Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users
Benefits
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:
New York $209,500 - $283,500