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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Credit Karma is looking for a results-oriented and strategically innovative Staff AI Scientist who is passionate about applying machine learning to address financial challenges for millions of our members. As a technical leader, you will be responsible for driving data-informed decisions and delivering AI-powered recommendation and monetization strategies that help our members achieve their financial goals.
AI plays a ubiquitous role in Credit Karma’s product, serving as the foundation for core machine learning capabilities that drive monetization, personalization, and a value-centric experience to our members. As such, this position necessitates extensive cross-functional collaboration and close partnerships across various departments, including engineering, product, marketing, finance, and analytics.
With a strong background in data science and machine learning paired with excellent communication skills, you will drive innovation in the development and application of AI techniques that power the most relevant financial products including actionable recommendations at Credit Karma. This role is ideal for someone who combines strong machine learning and AI skills with business acumen and cross-functional collaboration.
Responsibilities
- Partner with colleagues throughout the organization to identify high-impact opportunities to leverage our extensive data to better serve our users
- Responsible for accelerating revenue and engagement advancement through disruptive and continuous improvements in various machine learning models (targeting, marketing campaigns, etc.), feature engineering including user profiles and behavior, personalization, etc.
- Participate in research efforts with other team members to explore the frontiers of GenAI, Deep Learning, Recommender systems, and other areas, as they apply to Personal Finance
- Collaborate closely with partner teams to define metrics that quantify various aspects of our business, including but not limited to revenue, engagement, user experience, etc. Provide solid statistical bases in designing experiments.
- Represent Data Science in cross-functional meetings and reviews. Be able to translate difficult technical subject matter to business partners
- Represent Credit Karma in external forums such as conferences and meetups, and act as an evangelist for CK team in such forums
- You will work with large scale Machine Learning Models to optimize for Personal Finance Products
- You will be part of a highly impactful team, who are working on large scale projects that directly impact the business and members
- You will experience both personal and professional growth as you encourage growth throughout the team
Qualifications
- MS in Computer Science, Mathematics, Statistics, Physics or a related quantitative discipline
- 7+ years of industrial experience in Data Science, Machine Learning and related areas, ideally in hyper-growth consumer Internet scenarios
- Deep statistical understanding and ability to architect and develop next-generation ML systems, staying ahead of industry trends and integrating latest advancements (e.g., GenAI)
- Strong background in programming languages (e.g., Python, Java, SQL)
Preferred Qualifications:
- Experience with driving monetization, member engagement, longer term member value through AI
- Experience working on large scale AI systems with applications across machine learning and generative AI, AI infrastructure, data foundation, and self-serve analytics through DS methods
- Ability to balance fast paced environments at a large scale company
- Ads business and product experience
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. The expected base pay range for this position is: $209,500-$283,500
Overview
Credit Karma is looking for a results-oriented and strategically innovative Staff AI Scientist who is passionate about applying machine learning to address financial challenges for millions of our members. As a technical leader, you will be responsible for driving data-informed decisions and delivering AI-powered recommendation and monetization strategies that help our members achieve their financial goals.
AI plays a ubiquitous role in Credit Karma’s product, serving as the foundation for core machine learning capabilities that drive monetization, personalization, and a value-centric experience to our members. As such, this position necessitates extensive cross-functional collaboration and close partnerships across various departments, including engineering, product, marketing, finance, and analytics.
With a strong background in data science and machine learning paired with excellent communication skills, you will drive innovation in the development and application of AI techniques that power the most relevant financial products including actionable recommendations at Credit Karma. This role is ideal for someone who combines strong machine learning and AI skills with business acumen and cross-functional collaboration.
Responsibilities
- Partner with colleagues throughout the organization to identify high-impact opportunities to leverage our extensive data to better serve our users
- Responsible for accelerating revenue and engagement advancement through disruptive and continuous improvements in various machine learning models (targeting, marketing campaigns, etc.), feature engineering including user profiles and behavior, personalization, etc.
- Participate in research efforts with other team members to explore the frontiers of GenAI, Deep Learning, Recommender systems, and other areas, as they apply to Personal Finance
- Collaborate closely with partner teams to define metrics that quantify various aspects of our business, including but not limited to revenue, engagement, user experience, etc. Provide solid statistical bases in designing experiments.
- Represent Data Science in cross-functional meetings and reviews. Be able to translate difficult technical subject matter to business partners
- Represent Credit Karma in external forums such as conferences and meetups, and act as an evangelist for CK team in such forums
- You will work with large scale Machine Learning Models to optimize for Personal Finance Products
- You will be part of a highly impactful team, who are working on large scale projects that directly impact the business and members
- You will experience both personal and professional growth as you encourage growth throughout the team
Qualifications
- MS in Computer Science, Mathematics, Statistics, Physics or a related quantitative discipline
- 7+ years of industrial experience in Data Science, Machine Learning and related areas, ideally in hyper-growth consumer Internet scenarios
- Deep statistical understanding and ability to architect and develop next-generation ML systems, staying ahead of industry trends and integrating latest advancements (e.g., GenAI)
- Strong background in programming languages (e.g., Python, Java, SQL)
Preferred Qualifications:
- Experience with driving monetization, member engagement, longer term member value through AI
- Experience working on large scale AI systems with applications across machine learning and generative AI, AI infrastructure, data foundation, and self-serve analytics through DS methods
- Ability to balance fast paced environments at a large scale company
- Ads business and product experience
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. The expected base pay range for this position is: $209,500-$283,500
See all 756+ E-3 Visa Artificial Intelligence Scientist Jobs
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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.