Overview

Intuit is looking for innovative and hands-on Senior Staff AI Scientist to join the Intuit AI team.

Come join our collaborative and creative group of AI scientists and AI engineers and build real-time AI models that directly affect millions of our customers. In this role you will be tech leading, building and deploying machine learning models with a focus of generative AI approaches

What you'll bring

• 6+ years of industry experience with AI and machine learning. Working experience with Generative AI is strongly preferred

• MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent experience will be considered

• 6+ years of hands-on expertise in ML paradigms such as recommender systems, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.

• Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.

• Proficient in Generative AI, NLP, Explainable AI, and ML frameworks.

• Expertise in modern advanced analytical tools and programming languages such as Python, Scala, and/or Java.

• Efficient in SQL, Hive, SparkSQL, etc.

• 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

How you will lead

• Practices leadership and communication skills to influence teams and to evangelize data science across the organization

• Collaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products

• Leads technical work of a generative AI focused scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team’s work, and holding the team accountable for high quality code, git, design, costs and implementation standards

• Performs 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.

• Applies 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.

• Deploy real time AI models into production and work with analytics in launching A/B tests to draw conclusions on the impact of your team’s work and communicates results to peers and leaders

• Communicates with partners to ensure successful delivery and integration of AI solutions.

• Proactively researches, explores, and enables new ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems.

EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.