Staff AI Scientist Full-time

Come join our collaborative and creative group of AI scientists and machine learning engineers

as an Sr AI Scientist!

You’ll get to design and build AI systems that directly impact our customers via the Virtual Expert Platform (VEP). In this role, you’ll be designing, building, and deploying machine learning models in AI-native apps, using everything from analytical algorithms to deep learning and generative AI. We’re excited for you to join us and do some seriously amazing work.

The team is at the heart of connecting our customers with expert guidance across all our products – QuickBooks, TurboTax, Mailchimp, and Credit Karma. You will build solutions that are at the heart of multi-billion-dollar Services businesses (e.g., QuickBooks Live, TurboTax Live), enhance Customer Success through AI and human expertise. The solutions leveraging AI and GenAI will involve forecasting, capacity planning, optimization, variance analytics recommendation systems and decision systems.

Responsibilities

• Perform hands-on data analysis and modeling with huge data sets. Apply data mining, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms
• Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
• Create and refine features from the underlying data. You’ll enjoy developing just enough subject matter expertise to have an intuition about what features might make your model perform better, and then you’ll lather, rinse and repeat
• Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders
• Works with business planners to propose innovative products and services that fully utilize the power of AI and associated service functionality
• Collaborates with infrastructure architects in assessing and addressing the requirements for more automated, streamlined systems and for the data governance required for agile and responsive data manipulation
• Introduces industry-leading or academic-based ideas, research, and insights required by Intuit leadership to solve complex questions or fuel new business opportunities
• Acts as an advisor in overseeing and mentoring the work of colleagues towards the building of a vibrant practice community