Principal AI Scientist - AI Foundation

About the role

Join the AI Foundation as a Principal AI Scientist. The PDX AI Foundation team focuses on building capabilities that enable and accelerate AI development across Intuit. You will lead the work to leverage cutting-edge AI technologies at scale, focusing on developing AI standards, evaluation methodologies, and tools. Collaborate across organizations and functions with partners in engineering, product management, analytics, and design to accelerate the work of developers across Intuit.

Responsibilities

• Practice leadership and communication skills to influence teams and evangelize data science across the organization.
• Collaborate with stakeholders to define success criteria and align model metrics with business goals.
• Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
• Lead technical work of a scrum team: initiate and design model solutions, drive end-to-end architecture designs, and hold the team accountable for high-quality code, Git, design, costs, and implementation standards.
• Perform hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them “model-ready.” You need to be willing and able to do your own ETL and design/build featurization.
• Apply data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
• Communicate with partners to ensure successful delivery and integration of data science solutions.
• Proactively research, explore, and enable new ML technologies. Keep up with new developments in academia and industry and consider possible extensions to solve Intuit customer problems.

Qualifications

• 10+ years of industry experience with data science.
• BS, MS, or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent experience.
• 8+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement, or Deep Learning.
• Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.
• Proficient in NLP techniques, Explainable AI, and ML frameworks.
• Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java, and/or R.
• Experience with building end-to-end reusable pipelines from data acquisition to model output delivery.
• Quick learner, adaptable, with the ability to work independently in a fast-paced environment.
• Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users.

Pay

Intuit provides a competitive compensation package with a strong pay-for-performance rewards approach. The expected base pay range for this position in Mountain View is $273,500 - $369,500.

Benefits

This position will be eligible for a cash bonus, equity rewards, and benefits, including programs and plans as described on the Intuit Careers Benefits page.