Senior AI Scientist

Join our AI team building smarter products and improving anti-fraud/security and customer care, using both analytical and deep learning approaches. You'll deliver durable AI solutions spanning development and evaluation independently.

You manage complex or multiple simpler features, building a meaningful edge over off-the-shelf AI by experimenting with novel applications of existing methods, including agentic system evaluation and optimization.

• Select appropriate AI approaches, explain trade-offs, and spot common failure modes like hallucination, bias, and drift.
• Curate task-specific datasets, define baseline metrics, and design AI-centric features balancing latency, cost, and quality, including within multi-agent pipelines, building evaluation frameworks for non-deterministic workflows.
• Embed AI agents into your science workflow (experiment orchestration, hyperparameter search, simulation-based validation), helping set team standards for agent-driven tasks.
• Apply data mining, NLP, and ML (supervised/unsupervised, Causal-ML, Online, Bayesian, Reinforcement, Deep Learning) to real-world problems and datasets.

• Provide accurate estimates for projects, accounting for technical risk and the quality of agent-generated work.
• Eliminate systematic roadblocks through cross-functional influence; maintain quality standards through the full development cycle.
• Take full responsibility for delivering major features or projects; run A/B tests and communicate impact to peers and leaders.

• Use customer feedback, usage, and product data, plus AI agents, to deepen technical analysis and influence product direction.
• Partner with Product and Design to shape priorities based on real customer behavior and business goals.
• Define success at the outset, track adoption and impact, and drive post-launch iteration.

• Share feedback on best practices; help teammates direct AI agents with sharper intent.
• Resolve ambiguities and encode what works into shared, reusable team practices.
• Work with PMs, engineers, and designers to design experiments and MVPs

• BS, MS, or PhD in Statistics, Mathematics, Computer Science, Applied Math, Operations Research, or a related field.
• 5+ years of industry experience with AI science.
• Hands-on expertise in ML paradigms (Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement, Deep Learning).
• Proficient in NLP techniques, explainable AI, and common ML frameworks.
• Expertise in Python, Scala, Java, and/or R; efficient in SQL/Hive/SparkSQL; comfortable in Linux.
• Strong communication skills for technical and non-technical audiences.

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. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location.

Mountain View $180,000 - $243,500
San Diego, CA $165,500- $223,500