Senior Staff AI Scientist

Intuit

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Oakland, CAMountain View, CA
Salary
$226,000–$306,000 / yr
Posted
13 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $199k
This role $266k
$127k $325k
below market most similar roles pay here above market

This role pays more than 90% of similar roles. Most pay $162,000–$236,250 — the blue band above. At the midpoint, this role pays about $266k versus about $199k 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 263 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 244 roles with salary data.

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At a glance

TL;DR · Senior Staff AI Scientist

The Senior Staff AI Scientist joins the AI Science team to lead the evolution of recommendation engines from static eligibility matching to dynamic, intent-aware personalization. As a technical lead, you will architect systems that determine financial product visibility, balancing monetization with member trust. Your daily responsibilities include designing ML models for user intent, mentoring junior scientists, and setting modeling and coding standards. You will partner with product and engineering teams to build scalable, low-latency production infrastructure for ranking and search. Key technical requirements include expertise in deep learning, multi-objective optimization, survival analysis, time-series forecasting, and sequence-to-sequence modeling. You will solve complex problems in personal finance personalization, targeting, and marketing optimization by leveraging rich datasets to improve user profiles and engagement patterns.

What you'll do

  • Design and evolve ML models to understand user intent and power recommendation systems across the financial product ecosystem.
  • Serve as the primary technical authority to define the multi-year AI Science roadmap in partnership with product teams.
  • Collaborate with engineering to ensure models are integrated into scalable, low-latency production infrastructure.
  • Set modeling and coding standards while conducting deep-dive reviews to ensure scientific rigor across the organization.
  • Identify high-impact opportunities to leverage datasets for personalization, targeting, approval odds, and marketing optimization.
  • Drive revenue growth through continuous improvements in feature engineering, user profiles, and personalization models.
  • Translate complex technical work into clear business impact for executive and business reviews.
  • Lead and mentor a high-performing AI Science team on large-scale projects with direct business impact.

What we're looking for

  • MS in Computer Science, Mathematics, Statistics, Physics, or a related quantitative discipline.
  • 7+ years of industrial experience in Machine Learning.
  • 3 years of experience in a technical lead capacity focused on Ranking, Search, or Recommendation Systems.
  • Proven track record of designing and deploying high-scale, multi-stage ranking pipelines in a production environment.
  • Exceptional ability to communicate technical complexity to executive leadership and influence stakeholders across product, business, and engineering.
  • Experience with multi-objective optimization and ranking systems that manage competing business and user goals (preferred).
  • Familiarity with survival analysis, time-series forecasting, or sequence-to-sequence modeling to predict user actions over time (preferred).
  • Ability to translate high-level business goals into rigorous mathematical objective functions (preferred).

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