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Intuit

Tax, accounting, and personal-finance software

Senior AI Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A BS, MS, or PhD in Statistics, Mathematics, Computer Science, Applied Mathematics, Operations Research, or a related field is required.
  • At least 5 years of industry experience with AI science is required.
  • Hands-on expertise in machine learning paradigms, including causal, supervised and unsupervised, online, Bayesian, reinforcement, and deep learning, is required.
  • Proficiency in natural language processing techniques, explainable AI, and common machine learning frameworks is required.
  • Expertise in Python, Scala, Java, and/or R is required.
  • Efficient use of SQL, Hive, and SparkSQL and comfort working in Linux are required.
  • Strong communication skills for technical and non-technical audiences are required.

Responsibilities

  • Select appropriate AI approaches, explain trade-offs, and identify common failure modes such as hallucination, bias, and drift.
  • Curate task-specific datasets, define baseline metrics, and design AI-centric features that balance latency, cost, and quality, including within multi-agent pipelines; build evaluation frameworks for non-deterministic workflows.
  • Embed AI agents into the science workflow for experiment orchestration, hyperparameter search, and simulation-based validation, and help set team standards for agent-driven tasks.
  • Apply data mining, natural language processing, and machine learning methods to real-world problems and datasets.
  • Provide accurate project estimates that account for technical risk and the quality of agent-generated work.
  • Eliminate systematic roadblocks through cross-functional influence and maintain quality standards throughout the full development cycle.
  • Take responsibility for delivering major features or projects, run A/B tests, and communicate impact to peers and leaders.
  • Use customer feedback, usage, product data, and AI agents to deepen technical analysis and influence product direction.
  • Partner with Product and Design to shape priorities based on customer behavior and business goals.
  • Define success at the outset, track adoption and impact, and drive post-launch iteration.
  • Share feedback on best practices and help teammates direct AI agents with sharper intent.
  • Resolve ambiguities and encode effective approaches into shared, reusable team practices.
  • Work with product managers, engineers, and designers to design experiments and minimum viable products.

About the Company

Intuit

Tax, accounting, and personal-finance software

Intuit provides financial technology tools for consumers and small businesses. Its main products are TurboTax for tax preparation, QuickBooks for accounting, and Mint for personal finance management. These tools typically operate on a subscription basis or behind transaction fees, with features that help users file taxes, track income and expenses, and manage budget and goals. The software ecosystem is designed to connect tax, accounting, and personal finance in one place, improving workflows for individuals, freelancers, and small business owners. Security is a priority, with measures like multi-factor authentication and anti-fraud protections to protect user data. Intuit’s goal is to help people achieve financial well-being by educating users and delivering easy-to-use, reliable financial software across different needs and customer segments.

Company size
10,001+
Company stage
IPO
Headquarters
Mountain View, CA
Founded
1983

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