Staff AI Scientist

Intuit

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
Atlanta, GA
Posted
148 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $225k
$170k most similar roles pay here $301k

This listing doesn't post a salary. Most similar roles pay $189,525–$260,450.

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.

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At a glance

TL;DR · Staff AI Scientist

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The Staff AI Scientist joins the Intuit AI team to build and deploy machine learning models using analytical algorithms and deep learning approaches. This role involves leading technical scrum teams, designing end-to-end architectures, and performing hands-on data analysis including ETL and featurization for large datasets. The scientist will collaborate with stakeholders to define success criteria, design experiments, and run A/B tests to measure impact. Key responsibilities include applying NLP, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, and Explainable AI to solve real-world problems. Required technical skills include proficiency in Python, Scala, Java, or R, along with SQL, Hive, and SparkSQL within a Linux environment. The role focuses on developing reusable pipelines from data acquisition to model delivery while researching new technologies to address specific customer problems through advanced optimization paradigms.

Skills

Machine Learning Deep Learning NLP Causal-ML Bayesian Learning Reinforcement Learning Python Scala Java R SQL Hive SparkSQL Linux ETL Explainable AI Git

What you'll do

  • Build and deploy machine learning models using analytical algorithms and deep learning approaches.
  • Perform hands-on data analysis, including ETL processes and feature engineering for large datasets.
  • Design end-to-end architecture and technical solutions for the team's model development.
  • Apply advanced techniques like NLP, Causal-ML, and Reinforcement Learning to solve real-world problems.
  • Run A/B tests to measure the impact of models and communicate results to leadership.
  • Research and integrate emerging machine learning technologies into Intuit’s product offerings.
  • Define success criteria and align model metrics with specific business goals.

What we're looking for

  • BS, MS, or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or a related field.
  • 4+ years of industry experience in AI science.
  • 4+ years of hands-on expertise in ML paradigms including Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement, or Deep Learning.
  • Proficiency in NLP techniques, Explainable AI, and various machine learning frameworks.
  • Proficiency in optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.
  • Expertise in programming languages like Python, Scala, Java, or R, along with SQL, Hive, and SparkSQL.
  • Experience building end-to-end reusable pipelines from data acquisition to model output delivery.
  • Strong communication skills to explain complex technical concepts to non-technical users and stakeholders.

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