Principal AI Scientist – AI Systems & Standards Lead

Intuit, Inc.

Mountain View (CA)

Hybrid

USD 274,000 - 370,000

Full time

14 days+
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Job summary

Intuit, Inc. in Mountain View seeks a Principal AI Scientist to lead AI foundation efforts, developing standards, evaluation methodologies, and scalable ML tools across engineering, product, analytics and design teams to accelerate AI development at Intuit.

You'll guide a scrum team, drive end-to-end architectures, perform hands-on data analysis, and advance NLP/ML techniques to solve real customer problems with measurable impact.

Qualifications

  • 10+ years of industry experience in data science.
  • 8+ years of hands-on ML (Causal-ML, supervised/unsupervised, Online, Bayesian, RL, or DL).
  • Proficient in optimization methods (combinatorial, gradient, Bayesian).
  • Proficient in NLP, Explainable AI, and ML frameworks.
  • Experience building end-to-end reusable data pipelines.

Responsibilities

  • Lead leadership and evangelize data science across the organization.
  • Collaborate with product managers, software engineers, and designers on experiments and MVPs.
  • Lead a scrum team's technical work, architecture, and quality of code/design standards.
  • Perform hands-on data analysis and modeling on large datasets, including ETL and feature engineering.
  • Apply NLP and ML techniques to real-world problems and datasets.
  • Communicate with partners to ensure successful delivery and integration of DS solutions.
  • Research and enable new ML technologies and stay current with developments.

Skills

Data science
Leadership
Experiment design
Model evaluation
NLP
ML frameworks
Programming
Communication

Education

BS/MS/PhD in relevant field

Tools

Python
Scala
Java
R

Job description

Intuit, Inc. in Mountain View seeks a Principal AI Scientist to lead AI foundation efforts, developing standards, evaluation methodologies, and scalable ML tools across engineering, product, analytics and design teams to accelerate AI development at Intuit.

You'll guide a scrum team, drive end-to-end architectures, perform hands-on data analysis, and advance NLP/ML techniques to solve real customer problems with measurable impact.

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