Artificial Intelligence Scientist Jobs at Intuit with Visa Sponsorship
Artificial Intelligence Scientist jobs at Intuit involve building intelligent financial tools used by millions of people, and the company has a well-established track record of sponsoring work visas across this function. If you're an international candidate targeting AI roles in the fintech space, Intuit is a serious option.
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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
Qualifications
- 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
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, 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
Qualifications
- 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
See all 79+ Artificial Intelligence Scientist Jobs at Intuit
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Artificial Intelligence Scientist Jobs at Intuit.
Get Access To All JobsTips for Finding Artificial Intelligence Scientist Jobs at Intuit
Align your research background to financial AI
Intuit's AI work centers on tax automation, natural language processing for financial documents, and personalized money insights. Frame your CV around applied ML systems that affect real users at scale, not pure research publications.
Prepare your credential documentation early
For H-1B and E-3 petitions, USCIS requires evidence that your degree directly supports the role. Get your transcripts evaluated by a NACES-accredited service before you receive an offer, so you're not scrambling after signing.
Clarify your visa type during the offer stage
Intuit sponsors multiple visa categories, and which one applies to you affects your timeline. Australian citizens should specifically ask about E-3 eligibility during offer negotiation, since it processes faster and doesn't depend on the H-1B lottery.
Use Migrate Mate to target Intuit AI openings
Artificial Intelligence Scientist roles at Intuit open and close quickly. Use Migrate Mate to filter specifically for Intuit positions that include visa sponsorship, so you're applying to active roles rather than chasing outdated listings.
Understand OPT cap-gap before your start date
If you're transitioning from F-1 OPT and your H-1B is filed before the April 1 deadline, cap-gap protection keeps you authorized through October 1. Confirm your OPT expiration date with your DSO before accepting a summer start date.
Verify your I-140 strategy for long-term sponsorship
For candidates from India or China, Intuit's willingness to file an EB-2 or EB-3 I-140 early matters significantly given green card backlogs. Raise green card sponsorship in the offer negotiation, not after you've already started.
Frequently Asked Questions
Does Intuit sponsor H-1B visas for Artificial Intelligence Scientists?
Yes, Intuit sponsors H-1B visas for Artificial Intelligence Scientists. The company has a consistent track record of filing H-1B petitions for technical roles, including those in machine learning and AI research. Because H-1B sponsorship depends on the annual lottery, timing your application cycle and having your documents in order before the March registration window matters.
Which visa types are commonly used for Artificial Intelligence Scientist roles at Intuit?
Intuit sponsors H-1B, E-3 visa, TN visa, F-1 OPT, F-1 CPT, J-1 visa, and employment-based Green Cards including EB-2 and EB-3 for this role. Australian citizens are well-positioned to pursue the E-3 visa, which has no lottery and processes at the consulate. Canadian and Mexican citizens may qualify for TN visa status under the USMCA, which is employer-filed and faster than H-1B.
How do I apply for Artificial Intelligence Scientist jobs at Intuit?
You can browse and apply for Artificial Intelligence Scientist roles at Intuit through Migrate Mate, which filters specifically for positions open to international candidates requiring visa sponsorship. When applying, tailor your application to highlight experience with production ML systems, NLP, or AI applied to financial data, since those map directly to Intuit's core product areas.
What qualifications does Intuit typically expect for Artificial Intelligence Scientist roles?
Intuit generally expects a master's or Ph.D. in computer science, machine learning, statistics, or a closely related field for Artificial Intelligence Scientist positions. Hands-on experience building and deploying ML models at scale, familiarity with large language models or NLP pipelines, and the ability to translate research into product-facing features are all strong signals for this role.
How do I plan my timeline around visa sponsorship when targeting Intuit?
If you need H-1B sponsorship, Intuit must file your petition in April for an October 1 start date, so receiving an offer by late February or early March is critical. For E-3 or TN candidates, consular processing typically runs two to four weeks, giving more scheduling flexibility. OPT candidates should confirm their authorization end date with their DSO before committing to a start date.