Staff AI Scientist, Content Safety

Company Overview

Job Overview

Join Intuit’s Content Safety team as a Staff AI Scientist, where you’ll build the intelligent infrastructure that keeps our global platform secure. We're looking for a specialist to design and deploy production-grade GenAI solutions that moderate content at scale. From pioneering automated labeling workflows to securing AI-generated outputs, your work will define the safety standards for every product in the Intuit portfolio.

Responsibilities

• Architect Robust Moderation Systems: Lead the design and deployment of sophisticated, multi-modal content moderation engines to detect and mitigate abusive content across Intuit’s diverse product ecosystem.

• Drive LLM Strategy: Direct the fine-tuning and optimization of state-of-the-art Transformers and Large Language Models (LLMs), balancing high-precision accuracy with production-scale efficiency.

• Pioneer Agentic Workflows: Research and integrate advanced GenAI patterns—including Retrieval-Augmented Generation (RAG) and Agentic AI—to revolutionize automated data labeling and complex classification taxonomies.

• Cross-Functional Leadership: Partner closely with ML Engineers, Product Leads, and Policy Experts, to help ensure AI systems aren't only technically superior - but also ethically grounded and compliant with global safety standards.

• Technical Evangelism and Research: Act as the team’s North Star by staying at the bleeding edge of AI research, translating academic breakthroughs into practical, "production-first" content safety strategies.

• Communication and Governance: Standardize high-quality documentation and model governance. You will translate complex technical architectures into clear, actionable insights for both executive stakeholders and technical peers.

• Team Upskilling and Mentorship: Serve as a force multiplier by mentoring junior and senior scientists, conducting rigorous code/design reviews, and fostering a culture of technical excellence.

Qualifications

• Advanced Academic Background: PhD or MSc in a quantitative field (Computer Science, Statistics, Applied Math), or equivalent industry experience in high-complexity AI environments.

• Proven Track Record: 5+ years of professional experience in Data Science or AI Research, with a history of delivering high-impact, production-grade models

• Cloud Architecture: deep expertise in architecting AI solutions on major cloud platforms (AWS, GCP, or Azure), specifically leveraging managed ML services (e.g., SageMaker, Vertex AI).

• Full-Stack ML Mastery: Mastery of Python and the modern AI stack (PyTorch, TensorFlow, Scikit-learn, Pandas). You should be comfortable designing distributed computing workflows and optimizing data pipelines for scale.

• GenAI Expertise: strong hands-on experience with LLM orchestration (e.g., LangChain, LlamaIndex) and fine-tuning. You don't just use LLMs; you understand how to steer them effectively.

• Safety & Alignment: a specialized focus on LLM security and safety frameworks.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. #LI-Hybrid