E-3 Visa Artificial Intelligence Scientist Jobs
Artificial Intelligence Scientist roles qualify as E-3 specialty occupations, requiring a bachelor's degree or higher in computer science, AI, or a closely related field. Australian nationals can secure E-3 visa sponsorship without entering a lottery, making this one of the most direct paths to U.S.-based AI research and applied science work.
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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 772+ E-3 Visa Artificial Intelligence Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Artificial Intelligence Scientist Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as an Artificial Intelligence Scientist
Frame your degree for specialty occupation
E-3 visa eligibility requires your degree to directly relate to the AI Scientist role. A computer science or mathematics degree supports the application cleanly. If your degree is adjacent, document how your coursework maps to the specific technical requirements in the job description.
Target employers with active LCA filing history
Search the DOL's Office of Foreign Labor Certification disclosure data for employers who have filed LCAs for AI or machine learning scientist roles. Past filings signal that the employer already understands the E-3 process and won't need extensive education from you.
Distinguish research roles from engineering roles early
AI Scientist positions at some companies are classified as research roles requiring a PhD-level specialization, while others accept a bachelor's plus industry experience. Clarify the employer's internal classification before your offer stage to avoid LCA prevailing wage complications.
Use Migrate Mate's E-3 filing service for the LCA and paperwork
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork. AI Scientist roles often involve third-party research agreements that add complexity to the worksite and wage certification requirements.
Prepare a technical credential summary for the consulate
Australian consular officers assess whether your qualifications meet the specialty occupation standard. Bring your academic transcripts, a letter confirming your degree equivalency to a U.S. bachelor's, and any publications or patents that establish your standing as an AI Scientist.
Confirm E-3 status transfers cleanly between AI employers
If you change employers, your new employer must file a fresh LCA with DOL and you'll need a new visa stamp before re-entering the U.S. Plan your transition timeline so your current E-3 status period doesn't expire before the new LCA is certified.
E-3 Visa Artificial Intelligence Scientist: Frequently Asked Questions
Where can I find Artificial Intelligence Scientist jobs with E-3 visa sponsorship?
Migrate Mate is the recommended starting point for Australians searching for AI Scientist roles with E-3 sponsorship. The platform filters roles by visa type and surfaces employers with active E-3 or LCA filing history, so you're not cold-applying to companies that haven't navigated the sponsorship process before.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does an Artificial Intelligence Scientist role qualify as an E-3 specialty occupation?
Yes. AI Scientist positions typically require a bachelor's degree or higher in computer science, data science, mathematics, or a closely related field, which satisfies the E-3 specialty occupation standard. Roles that require a specific technical degree for entry-level hire are straightforward to certify. Positions where any bachelor's degree is accepted regardless of field can face scrutiny during LCA review.
How does the E-3 visa compare to the H-1B for AI Scientist roles?
The E-3 has no annual lottery and no cap that affects most applicants, so an Australian AI Scientist can apply and begin work without waiting for a randomized selection round. H-1B visa requires registration in April and selection by lottery, with a start date no earlier than October 1. For AI roles in high demand, the E-3 is a materially faster path to U.S. employment.
Can I switch AI Scientist employers after my E-3 is approved?
You can change employers, but it's not a simple transfer. Your new employer must file a fresh LCA with DOL certifying the prevailing wage for the new position and worksite. You'll also need a new E-3 visa stamp at an Australian consulate before re-entering the U.S. Build at least four to six weeks into your transition timeline to account for LCA certification and consulate scheduling.