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Intuit

Tax, accounting, and personal-finance software

Senior AI Research Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeMountain View, CA, USAIn-person

About the Job

Requirements

  • At least 3 years of industry experience building and deploying machine learning or artificial intelligence systems in production environments.
  • Strong hands-on expertise with large language models, including fine-tuning (supervised fine-tuning, low-rank adaptation, reinforcement learning from human feedback or group relative policy optimization), prompt engineering, and inference optimization.
  • Experience building agentic artificial intelligence systems, multi-agent pipelines, or tool-use workflows.
  • Proficiency in Python with PyTorch, Hugging Face Transformers, or similar deep learning frameworks.
  • Experience with natural language processing techniques including text generation, summarization, information extraction, and semantic search.
  • Familiarity with retrieval-augmented generation, knowledge graphs, or structured data reasoning.
  • Track record of translating research methods into production-quality systems that deliver measurable customer or business impact.
  • Strong communication skills for technical and non-technical audiences.

Responsibilities

  • Apply and adapt cutting-edge AI research from the team's pipeline into scalable, production-ready AI capabilities for Intuit's financial products.
  • Build, fine-tune, and evaluate large language models for domain-specific financial AI applications, including post-training (SFT, RLHF), prompt engineering, and model optimization.
  • Design and implement agentic AI systems with multi-step reasoning, tool use, and structured decision-making for real-world customer workflows.
  • Develop retrieval-augmented generation (RAG) pipelines and knowledge-grounded systems for financial document understanding and question answering.
  • Build evaluation frameworks for non-deterministic AI systems, including LLM-as-judge pipelines, rubric-based assessment, and automated regression testing.
  • Collaborate with AI Research Scientists, product managers, designers, and engineers to translate scientific AI methods into customer-facing capabilities across Intuit's product portfolio.
  • Curate task-specific datasets, define success metrics, and run experiments to validate model improvements in production settings.
  • Embed AI agents into science and engineering workflows, including experiment orchestration, hyperparameter search, and simulation-based validation.

Desired Qualifications

  • A Master of Science or PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field with a focus on AI/ML/NLP.

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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