Senior AI Scientist & Tech Lead - End-to-End ML Architect

Intuit; Mountain View (CA); On-site; USD 210,000 - 284,000; Full time

Benefits offered by this job

Cash bonus

Equity rewards

Benefits

Job summary

Intuit is seeking a Staff AI Scientist in Mountain View to lead AI initiatives across the CG team. You will design end-to-end ML architectures, mentor engineers, and drive customer-focused data-driven decisions.

You will collaborate with product managers and designers, apply NLP and ML techniques to real-world problems, and lead scrum teams to deliver high-impact solutions with measurable business outcomes.

Qualifications

• Advanced degree in a quantitative field (CS/Statistics/Math/Economics/OR) is required.
• 4+ years of industry experience in AI/ML or related field.
• Strong experience with optimization techniques (combinatorial, gradient-based, Bayesian) and NLP.
• Proficiency in Python, Scala, Java, or R.

Responsibilities

• Collaborate with stakeholders to define success criteria and align model metrics with business goals.
• Lead scrum teams, design model solutions, and drive end-to-end architecture.
• Perform hands-on data analysis, ETL, and feature engineering with large datasets.
• Apply data mining, NLP, and ML paradigms to real-world problems.
• Design and run A/B tests; communicate impact and recommendations to leadership.
• Stay current with ML advancements and evaluate new techniques for customer-facing applications.
• Mentor and provide technical direction to other AI Scientists on the team.

Skills

Python

NLP

Explainable AI

SQL

Hive

SparkSQL

Java

R

Education

BS/MS/PhD in Computer Science or related quantitative field

Tools

SQL

Hive

SparkSQL

Job description

Intuit is seeking a Staff AI Scientist in Mountain View to lead AI initiatives across the CG team. You will design end-to-end ML architectures, mentor engineers, and drive customer-focused data-driven decisions.

You will collaborate with product managers and designers, apply NLP and ML techniques to real-world problems, and lead scrum teams to deliver high-impact solutions with measurable business outcomes.