Senior AI Scientist

Intuit, Inc.; Mountain View (CA); On-site; USD 166,000 - 244,000; Full time

Benefits offered by this job

Cash bonus

Equity rewards

Benefits package

Job summary

Intuit, Inc. in Mountain View/San Diego region seeks an AI Scientist to lead the development and evaluation of advanced AI features, focusing on anti-fraud/security and customer care.

You will prototype novel applications, build evaluation frameworks, and integrate AI agents into the product development cycle. The role emphasizes cross-functional collaboration with Product, Design, and Engineers, delivering durable AI solutions, analyzing results, and guiding product direction based on data and

Qualifications

• 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.
• Strong communication skills for technical and non-technical audiences.

Responsibilities

• 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 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

Skills

AI/ML expertise

Data analysis & experimentation

Strong communication

Education

Bachelor/Master/PhD in Statistics/CS/Applied Math

Tools

Python

Scala/Java

R

SQL/Hive/SparkSQL

Linux

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. 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