AI Engineer Jobs at Intuit with Visa Sponsorship
AI Engineer jobs at Intuit involve building machine learning infrastructure, intelligent financial products, and LLM-powered features across TurboTax, QuickBooks, and Credit Karma. The company has a consistent track record of sponsoring work visas for technical roles, making it a realistic target if you need sponsorship.
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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, 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 an 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
See all 103+ AI Engineer Jobs at Intuit
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Get Access To All JobsTips for Finding AI Engineer Jobs at Intuit
Align your ML experience to Intuit's product stack
Intuit's AI teams work heavily on NLP, personalization, and document understanding within financial products. Frame your resume around those domains rather than generic deep learning experience. Reviewers are looking for signal that you understand production ML at scale.
Target roles that sit under established AI orgs
Intuit has dedicated AI and data platform organizations. Roles posted under those orgs are more likely to have defined sponsorship workflows than newer or experimental teams, which sometimes lack the HR infrastructure to move quickly on visa filings.
Get your credentials evaluated before applying
If your degree is from outside the United States, get a credential evaluation from a NACES-approved evaluator before your first interview. Intuit's immigration team will need this for the H-1B specialty occupation determination, and delays here can slow the entire petition timeline.
Understand how the H-1B cap affects your start date
If you're not already on a cap-exempt status like F-1 OPT or an existing H-1B, your petition enters the annual lottery. USCIS cap-subject petitions can only take effect October 1, so negotiate your offer timeline accordingly and ask HR which filing window applies to you.
Clarify LCA scope during the offer stage
The Labor Condition Application filed with DOL locks in your worksite and wage level. Before signing, confirm whether Intuit will list their Mountain View or New York offices, especially if your role is hybrid. A mismatched LCA worksite can require an amendment if your location changes.
Use Migrate Mate to find open AI Engineer roles at Intuit that explicitly support sponsorship
Not every Intuit job posting makes sponsorship eligibility obvious. Migrate Mate filters specifically for roles where sponsorship is confirmed, saving you from applying to positions where visa support was never on the table.
Frequently Asked Questions
Does Intuit sponsor H-1B visas for AI Engineers?
Yes, Intuit sponsors H-1B visas for AI Engineer roles. The company works with immigration counsel to file cap-subject and cap-exempt petitions depending on your current status. If you're transitioning from F-1 OPT, Intuit can file during the regular cap season. If you hold an existing H-1B visa from another employer, a transfer is possible without waiting for the lottery.
How do I apply for AI Engineer jobs at Intuit?
Start by identifying open AI Engineer roles through Intuit's careers portal or Migrate Mate, which filters for positions with confirmed visa sponsorship. Tailor your application to reflect Intuit's specific AI focus areas: financial NLP, recommendation systems, and ML platform engineering. After applying, expect a recruiter screen followed by a multi-stage technical loop covering coding, ML system design, and product sense.
Which visa types does Intuit commonly use for AI Engineers?
Intuit sponsors H-1B, E-3 visa, TN visa, and F-1 OPT and CPT for AI Engineer roles, depending on your nationality and current status. Australian citizens are eligible for the E-3, which bypasses the H-1B lottery. Canadian and Mexican nationals in qualifying engineering roles may qualify for TN visa status. For permanent residency, Intuit also supports EB-2 and EB-3 Green Card sponsorship.
What qualifications does Intuit expect for AI Engineer roles?
Most AI Engineer roles at Intuit require a bachelor's or master's degree in computer science, machine learning, or a related technical field. Hands-on experience with large-scale ML systems, Python, and at least one major ML framework is expected. Roles closer to production engineering also weight distributed systems knowledge. Research-oriented positions often look for published work or experience with LLM fine-tuning and evaluation pipelines.
How do I time my application around the H-1B filing calendar?
USCIS opens H-1B registration in early March each year for the cap lottery. To be included, you need a signed offer by late February at the latest. If selected, your petition cannot take effect before October 1. F-1 OPT holders can bridge this gap using a timely filed extension. Coordinate your interview and offer timeline with Intuit's recruiters well in advance of the March window.