Job Description

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.

What You'll Do

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.

Responsibilities

Technical Skills & AI Science

• 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.

Execution & Delivery

• 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.

Customer Impact

• 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.

Collaboration & Team Growth

• 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

Qualifications

• 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 (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.

The expected base pay range for this position is:

Mountain View $180,000 - $243,500

San Diego, CA $165,500- $223,500