Principal AI Scientist - DGX
Intuit
Listing collected from Intuit's career site. NextChapter is independent of Intuit.
Mountain View, CA · Posted October 15, 2026
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Where Mountain View, CA ranks
Where Mountain View, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for AI-skill jobs45% · of 100
- #1Best cities for AI-skill jobs in the West Coast45% · of 71
- #1Best cities for mid-career professionals in the West Coast68% · of 71
- #1Best all-round cities for mid-career professionals in the West Coast85 / 100 · of 39
- #1Best all-round cities for AI careers in the West Coast96 / 100 · of 39
- #2Best cities for finance pay after cost of living$161k · of 35
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
How AI is used in this kind of work
Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Intuit has filed one layoff notice in the last twelve months, covering 162 workers, most recently May 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings
Skills this job asks for
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About the job
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 data, marketing, sales 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 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.
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.
Prior experience / qualifications in Marketing 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.
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.
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 $273,500 - $369,500