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Intuit

Principal AI Scientist

Intuit, Mountain View, California, us, 94039

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Overview 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. 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 across the organization

Leads team’s work in one or more of: ML, NLP, Statistics, or Optimization, performs hands-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

Influences business leaders to shape mission critical projects

Creates multi-year vision that connects product strategy with technology strategy

Drives architecture decisions, influences and contributes to ML platform architecture and strategy

Leads team and partners to the successful delivery and integration of ML solutions

Conducts design reviews, holds teams to technical and operational rigor

Acts as an advisor in overseeing and mentoring the work of colleagues towards the building of a vibrant practice community

Qualifications

PhD/MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field

Solid knowledge of statistical techniques

3+ years as either a lead in a AI science role or in a management position in AI science

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

6+ years’ experience manipulating large datasets and using databases (e.g. R, SQL, S-Plus, etc.)

6+ 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

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Software Development

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