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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Come join the Consumer Group (CG) AI Team as a Staff AI Scientist. You will lead the application of AI science across the organization, driving end-to-end model architecture and collaborating with product managers, engineers, and designers to align model metrics with business goals. This is a hands-on technical leadership role — you'll design solutions, lead scrum teams, and directly shape the customer experience through data-driven decision making.
Responsibilities
- Collaborate with stakeholders to define success criteria and align model metrics with business goals
- Lead scrum teams, design model solutions, and drive end-to-end architecture
- Perform hands-on data analysis, ETL, and feature engineering with large datasets
- Apply data mining, NLP, and machine learning paradigms (classification, regression, deep learning, recommender systems) to real-world problems
- Design and run A/B tests; communicate impact and recommendations to leadership
- Stay current with ML advancements and evaluate new techniques for customer-facing applications
- Mentor and provide technical direction to other AI Scientists on the team
Qualifications
- BS, MS, or PhD in Computer Science, Statistics, Mathematics, Economics, Operations Research, or a related quantitative field
- 4+ years of industry experience in AI Science, Machine Learning, or a related field (e.g. Masters + 5 years industry, or PhD + 3 years industry)
- Strong experience with optimization techniques (combinatorial, gradient-based, Bayesian), NLP, and Explainable AI
- Proficiency in Python, Scala, Java, and/or R
- Strong SQL, Hive, SparkSQL skills; comfort working in Linux environments
- Demonstrated ability to build reusable, end-to-end ML pipelines
- Tech lead scope with strong end-to-end model experience, including scalability
- Strong communication skills — able to translate complex technical work for both technical and non-technical audiences
- Independent, adaptable, fast learner who can operate with technical lead scope
COMPENSATION
- The expected base pay range for this position is:
Mountain View $209,500 - $283,500
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. 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.
Overview
Come join the Consumer Group (CG) AI Team as a Staff AI Scientist. You will lead the application of AI science across the organization, driving end-to-end model architecture and collaborating with product managers, engineers, and designers to align model metrics with business goals. This is a hands-on technical leadership role — you'll design solutions, lead scrum teams, and directly shape the customer experience through data-driven decision making.
Responsibilities
- Collaborate with stakeholders to define success criteria and align model metrics with business goals
- Lead scrum teams, design model solutions, and drive end-to-end architecture
- Perform hands-on data analysis, ETL, and feature engineering with large datasets
- Apply data mining, NLP, and machine learning paradigms (classification, regression, deep learning, recommender systems) to real-world problems
- Design and run A/B tests; communicate impact and recommendations to leadership
- Stay current with ML advancements and evaluate new techniques for customer-facing applications
- Mentor and provide technical direction to other AI Scientists on the team
Qualifications
- BS, MS, or PhD in Computer Science, Statistics, Mathematics, Economics, Operations Research, or a related quantitative field
- 4+ years of industry experience in AI Science, Machine Learning, or a related field (e.g. Masters + 5 years industry, or PhD + 3 years industry)
- Strong experience with optimization techniques (combinatorial, gradient-based, Bayesian), NLP, and Explainable AI
- Proficiency in Python, Scala, Java, and/or R
- Strong SQL, Hive, SparkSQL skills; comfort working in Linux environments
- Demonstrated ability to build reusable, end-to-end ML pipelines
- Tech lead scope with strong end-to-end model experience, including scalability
- Strong communication skills — able to translate complex technical work for both technical and non-technical audiences
- Independent, adaptable, fast learner who can operate with technical lead scope
COMPENSATION
- The expected base pay range for this position is:
Mountain View $209,500 - $283,500
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. 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.
See all 72+ AI Engineer Jobs at Intuit
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Engineer Jobs at Intuit.
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.