Staff AI Scientist

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With over 100 million customers worldwide using our flagship products - TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. Intuit’s strategy is to be a global AI-driven expert platform delivering world-class experiences for our customers at unprecedented speed and scale. With AI at the heart of the strategy, Intuit has created a new organization led by our Chief AI Officer to drive Intuit’s evolution as a global AI technology leader through a dedicated research and innovation focus and a partnership with leading academic and industry organizations. Intuit’s AI teams have access to rich data and production grade AI platforms, enabling our scientists and engineers to move quickly from research to impact.

Job Overview

We are looking for an experienced AI Scientist to join the AI, Research, and Futures organization. You will contribute to developing and deploying core AI technologies and capabilities that enable new customer experiences and accelerate the testing and deployment of these innovations across our platforms and products.

Responsibilities

Contribute to

Intuit's multi-year AI roadmap by incubating and developing emerging new technologies and capabilities.

Build end-to-end solutions

that demonstrate how the state-of-the-art research in AI can drive transformative new experiences.

Build rapid prototypes

and

scale

successful concepts into robust, production-quality systems capable of handling massive data volumes and serving hundreds of millions of customers.

Collaborate

closely with business units and platform teams to accelerate testing and deployment of new technologies and capabilities within our platforms and products.

Ensure adherence to best practices

in data quality, model evaluation, and lifecycle management through rigorous monitoring, testing, and retraining practices.

Apply responsible AI principles

to ensure fairness, transparency, and trustworthiness of models and systems.

Share knowledge and best practices across the team

fostering a culture of innovation, scientific rigor, and continuous learning.

Qualification

MS / Ph.D. in Computer Science, Statistics, or Applied Mathematics

with focus on Artificial Intelligence / Machine Learning.

Deep technical AI expertise

especially in areas like training LLMs, reasoning models, multi-modal models and their application to one or more areas such as

Forecasting and Planning, Decision Making Under Uncertainty, Multi-objective Optimization, Learning from Human Feedback, Data Cognition, and Deep Personalization .

Demonstrated research experience in AI

through publications at leading journals and conferences is a strong plus.

5+ years of experience

developing and deploying AI solutions that successfully solve challenging customer problems or enable radically new experiences.

Experience translating business requirements into effective working prototypes

coded up in languages like Python or using modeling frameworks like TensorFlow, Pytorch.

Great communication and collaboration skills

with ability to clearly articulate complex technical concepts to both technical and non-technical audiences.

Experience with Machine Learning systems on cloud platforms

like AWS, GCP, or Azure is preferred.

Strong Computer Science / Data Science fundamentals

including data structures, algorithms, performance complexity, data analysis, model training, A / B testing, and MLOps practice