Principal AI Scientist
Intuit · Mountain View, CA · 3 wk ago
On-siteInformation Technology$274k–$370k/yrFull-time
Responsibilities
- P 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 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
- 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
- Led 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