Artificial Intelligence Scientist Jobs at Intuit with Visa Sponsorship
Intuit hires Artificial Intelligence Scientists to build 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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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
COMPENSATION
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
LOCATION
Oakland
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
COMPENSATION
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
LOCATION
Oakland
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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.
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.
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Find Artificial Intelligence Scientist at Intuit JobsFrequently 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, TN, F-1 OPT, F-1 CPT, J-1, and employment-based Green Cards including EB-2 and EB-3 for this role. Australian citizens are well-positioned to pursue the E-3, which has no lottery and processes at the consulate. Canadian and Mexican citizens may qualify for TN 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.
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