Staff Engineer Jobs at Intuit with Visa Sponsorship
Staff Engineer jobs at Intuit involve working across products like TurboTax, QuickBooks, and Credit Karma, tackling platform-scale engineering problems. The company has an established sponsorship process for this function, supporting multiple visa categories for candidates who bring deep technical expertise.
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Come join the Fintech Risk AI/ML Smart Money Services (SMS) as a Senior Machine Learning Engineer. The SMS team is responsible for detecting and preventing fraud and financial risk for all Money Movement events at Intuit.
Responsibilities
As a Staff MLE, you will bridge the gap between advanced data science and scalable production engineering:
- Lead the conception, coding, and deployment of data science models at scale using the latest industry tools.
- Provide guidance and support leadership to business leaders and stakeholders on how best to harness available data for critical business needs.
- Help develop, maintain, and scale web services for the AI team which orchestrate various ML functions.
- Apply proven methods and hacking skills to work with divergent data types, data scales, and big data (petabytes).
- Partner closely with data scientists to understand, implement, and refine algorithms, building robust pipelines to train and deploy models.
- Discover, extract, and clean data from complex sources, making it machine learning-ready for large-scale analysis.
- Run regular A/B tests, gather data, draw conclusions on the impact of your models, and communicate results to peers, cross-functional partners, and leaders.
- Explore new technology shifts to determine how they might connect with customer benefits.
Qualifications
- BS, MS, or PhD degree in Computer Science, Statistics, Applied Mathematics, or a related field.
- 8+ years of experience developing predictive models, statistical analysis, or equivalent software engineering experience.
- Strong proficiency and experience with Object-Oriented Languages (OOD) such as Python, Scala, or Java.
- Deep knowledge of Data Science tools and frameworks (e.g., Python, Scikit, Pandas, TensorFlow, Keras, Spark).
- Strong software engineering fundamentals: data structures, algorithms, performance complexity, version control systems (Git), and the ability to write production-ready code.
- Demonstrated experience with web services (e.g., REST) and API design.
- Experience integrating applications and platforms with cloud technologies (e.g., AWS) and deploying highly scalable software supporting millions or more users.
- Practical experience with advanced concepts such as Supervised and Unsupervised ML techniques, Generative AI (autoencoders, GANs, VAEs), and GPU acceleration (CUDA and cuDNN).
- Excellent communication skills, including the ability to conduct meetings, make professional presentations, and explain complex technical concepts to non-technical business stakeholders.
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:
- Mountain View $202,500 - $274,000
Overview
Come join the Fintech Risk AI/ML Smart Money Services (SMS) as a Senior Machine Learning Engineer. The SMS team is responsible for detecting and preventing fraud and financial risk for all Money Movement events at Intuit.
Responsibilities
As a Staff MLE, you will bridge the gap between advanced data science and scalable production engineering:
- Lead the conception, coding, and deployment of data science models at scale using the latest industry tools.
- Provide guidance and support leadership to business leaders and stakeholders on how best to harness available data for critical business needs.
- Help develop, maintain, and scale web services for the AI team which orchestrate various ML functions.
- Apply proven methods and hacking skills to work with divergent data types, data scales, and big data (petabytes).
- Partner closely with data scientists to understand, implement, and refine algorithms, building robust pipelines to train and deploy models.
- Discover, extract, and clean data from complex sources, making it machine learning-ready for large-scale analysis.
- Run regular A/B tests, gather data, draw conclusions on the impact of your models, and communicate results to peers, cross-functional partners, and leaders.
- Explore new technology shifts to determine how they might connect with customer benefits.
Qualifications
- BS, MS, or PhD degree in Computer Science, Statistics, Applied Mathematics, or a related field.
- 8+ years of experience developing predictive models, statistical analysis, or equivalent software engineering experience.
- Strong proficiency and experience with Object-Oriented Languages (OOD) such as Python, Scala, or Java.
- Deep knowledge of Data Science tools and frameworks (e.g., Python, Scikit, Pandas, TensorFlow, Keras, Spark).
- Strong software engineering fundamentals: data structures, algorithms, performance complexity, version control systems (Git), and the ability to write production-ready code.
- Demonstrated experience with web services (e.g., REST) and API design.
- Experience integrating applications and platforms with cloud technologies (e.g., AWS) and deploying highly scalable software supporting millions or more users.
- Practical experience with advanced concepts such as Supervised and Unsupervised ML techniques, Generative AI (autoencoders, GANs, VAEs), and GPU acceleration (CUDA and cuDNN).
- Excellent communication skills, including the ability to conduct meetings, make professional presentations, and explain complex technical concepts to non-technical business stakeholders.
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:
- Mountain View $202,500 - $274,000
See all 95+ Staff Engineer Jobs at Intuit
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Staff Engineer Jobs at Intuit.
Get Access To All JobsTips for Finding Staff Engineer Jobs at Intuit
Align your experience to Intuit's platform engineering scope
Staff Engineer roles at Intuit are defined by cross-team technical influence, not just individual coding output. Frame your resume around system design decisions, org-wide technical standards you've set, and scaled infrastructure work rather than feature delivery.
Verify your visa category before applying
Intuit sponsors several visa categories for Staff Engineers, including H-1B, E-3, TN, and F-1 OPT. Confirm your specific category is covered before your interview loop, so you're not caught off guard at the offer stage when HR initiates the sponsorship review.
Front-load technical documentation for your specialty occupation case
USCIS scrutinizes specialty occupation arguments for senior engineering titles. Gather evidence now: transcripts, patents, publications, or architectural design documents that connect your advanced degree directly to the Staff Engineer scope Intuit advertises.
Target Intuit's fintech product teams when searching roles
Staff Engineer headcount at Intuit clusters around TurboTax, QuickBooks, and their AI and data platform teams. Filtering your search to these domains puts you in front of hiring managers who regularly work with sponsored candidates and understand the timeline.
Use Migrate Mate to surface open Staff Engineer roles at Intuit
Searching broadly across job boards buries sponsorship-friendly listings. Migrate Mate filters specifically for visa-sponsoring employers, so you can find current Staff Engineer openings at Intuit without manually screening hundreds of postings for sponsorship eligibility.
Negotiate your start date around H-1B cap timelines
If you need a new H-1B and your current status doesn't support cap-exempt filing, the April lottery and October 1 start date create a firm constraint. Build this into offer negotiations early so Intuit's recruiting team can structure the timeline around USCIS deadlines.
Frequently Asked Questions
Does Intuit sponsor H-1B visas for Staff Engineers?
Yes, Intuit sponsors H-1B visas for Staff Engineer roles. Because the title sits at a senior individual contributor level, the company treats it as a specialty occupation requiring advanced technical expertise, which supports a strong H-1B petition. If you're subject to the annual cap, Intuit's HR team will walk you through the April registration window and the October 1 start date that follows a successful selection.
Which visa types does Intuit commonly sponsor for Staff Engineer roles?
Intuit sponsors H-1B, E-3 visa, TN visa, EB-2, EB-3, F-1 OPT, F-1 CPT, and J-1 visas for engineering roles including Staff Engineer positions. Australian citizens are well-served by the E-3 visa, which has no lottery and is often faster to process. Canadian and Mexican nationals frequently use TN visa status given the streamlined USMCA process. If you're already on OPT or CPT, Intuit can typically begin sponsorship proceedings before your authorized period ends.
What qualifications does Intuit expect for Staff Engineer candidates?
Intuit looks for Staff Engineers who can operate across organizational boundaries, not just within a single team. In practice that means a track record of defining technical direction, driving architecture decisions at scale, and influencing engineering practices across product areas. A bachelor's or master's degree in computer science or a closely related field is standard. Depth in distributed systems, cloud infrastructure, or data platforms aligns well with Intuit's fintech stack across TurboTax, QuickBooks, and Credit Karma.
How do I apply for Staff Engineer jobs at Intuit?
You can find open Staff Engineer positions through Intuit's careers site or through Migrate Mate, which filters specifically for roles at visa-sponsoring employers so you can confirm sponsorship eligibility before applying. When you apply, tailor your materials to highlight system-scale technical leadership, not just coding contributions. Intuit's engineering interview process typically includes a technical screen, a system design round, and a cross-functional leadership assessment, so prepare for all three.
How do I time my job search at Intuit around visa filing deadlines?
Timing depends on your current status. If you need a cap-subject H-1B, Intuit must register you in the USCIS lottery in March for an October 1 start, which means your offer and documentation need to be in order by late February. If you're on OPT with a STEM extension, you have more runway. E-3 and TN candidates have more flexible timelines because those categories don't have a cap or lottery. Build backward from your current authorization expiration date to identify when you need an offer in hand.