Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches, targeted towards areas like marketing audiences, brand management, generative engine optimization, price optimization, creative generation and optimization, Digital twins etc. The world of marketing is changing dramatically. We are waiting for you to join us and do the best work of your life.
Responsibilities
Practices excellent leadership and communication skills to influence and lead teams and to evangelize AI science
Leads team’s work in one or more of: ML, NLP, Statistics, or Optimization, performs hand-on work in these domains.
Weighs ROI considerations of general and tailored capabilities for projects in the team
Creates new capabilities that solve critical business problems
Pushes the boundaries of ML by developing foundational methods and novel applications from state-of-the-art ML technologies and industry trends
Leads team and partners to the successful delivery and integration of ML solutions
Conducts design reviews, holds teams to technical and operational rigor.
PhD/MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field
Prior experience / qualifications in Data, Marketing & Sales platforms, media management. If you have a background in Cognitive sciences / Human Psychology (Consumers, Buyers, Supporters, Detractors, Group behavioral sciences), this is the role for you.
Solid knowledge of statistical techniques
Strong communication skills and proven experience as an influencer at the executive level
Hands-on programming experience and expert knowledge in one or more of: ML, NLP, Statistics, or Optimization
3+ years’ experience manipulating large datasets and using databases (e.g. R, SQL, S-Plus, etc.)
3+ years’ experience with a general-purpose programming language (e.g. Python, Scala, etc.)
Expert knowledge and hands-on experience with ML pipelines, processes, and design patterns
Proven track record of influencing business leaders to shape mission critical projects
Proven track record of leading team to successful delivery of ML solutions
Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel
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 (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is
Mountain View $209,500 - $283,500
Job description provided by Intuit.
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