Machine Learning Jobs at Intuit with Visa Sponsorship
Machine Learning jobs at Intuit span across financial technology products, including TurboTax, QuickBooks, and Credit Karma, where the company hires engineers and scientists. The company has a consistent track record of sponsoring work visas for ML roles and supports multiple visa pathways, making it a realistic target for international candidates.
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Senior Machine Learning Engineer
Join a vibrant team of machine learning engineers helping conceive, code, and deploy AI science models at scale using the latest industry tools. As a Senior engineer, you deliver durable solutions and independently manage complex or multiple features, beginning to influence team processes.
You own the technical outcomes of your projects and their operational excellence, shaping architectural decisions and ensuring your code is suited for scaling and rapid iteration.
Responsibilities
Technical Skills & Engineering
- Lead technical design of complex ML features and systems, make sound architectural decisions, and provide effective documentation.
- Create durable technical examples and drive best-practices adoption, including testing and observability, documenting reusable patterns for work built alongside AI agents.
- Solve complex, ambiguous technical bugs that may require reaching outside your team for knowledge and resources.
- Stay fluent in modern AI-assisted development practices; lead technology and design evaluation and adoption.
- Design and refine ML features and pipelines with data scientists across the ML lifecycle.
Execution & Delivery
- Provide accurate estimates for projects, considering technical risks, team capacity, and the quality of AI-generated code.
- Eliminate systematic roadblocks through cross-functional influence, maintaining quality standards throughout the development cycle.
- Take full responsibility for successfully delivering major features or projects, managing risks and keeping stakeholders informed.
- Run and interpret A/B tests and statistical analyses to determine model and feature impact.
Customer Impact
- Collect customer feedback, usage, and product data to reach a deep understanding of customer workflows, using data to influence product direction.
- Partner with Product and Design to shape priorities based on real customer behavior and business goals.
- Define success at the outset, track adoption and impact, and drive post-launch iterations.
Collaboration & Team Growth
- Share feedback with team members on best practices, helping teammates work more effectively and take on larger work.
- Resolve ambiguities and provide clarity to team members, documenting what works so standards travel across the team.
- Work cross-functionally with product managers, data/AI scientists, and product engineers.
Qualifications
- BS, MS, or PhD in Computer Science or related field, or equivalent practical experience.
- 5+ years of experience.
- Knowledgeable with data science/AI tools and frameworks (Python, Scikit-learn, NLTK, NumPy, Pandas, TensorFlow, Keras, R, Spark).
- Solid understanding of ML techniques (classification, regression, clustering) and ML principles.
- Computer science fundamentals: data structures, algorithms, performance complexity, and computer architecture.
- Software engineering fundamentals: version control (Git/GitHub); ability to write production-ready code.
- Experience deploying highly scalable software supporting millions or more users; GPU acceleration (CUDA, cuDNN) and cloud (AWS, GCP) experience.
- Strong oral and written communication skills; able to explain complex material to non-technical audiences.
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 $171,000 - $231,500
San Diego, CA $154,000 - $208,500
Overview
Senior Machine Learning Engineer
Join a vibrant team of machine learning engineers helping conceive, code, and deploy AI science models at scale using the latest industry tools. As a Senior engineer, you deliver durable solutions and independently manage complex or multiple features, beginning to influence team processes.
You own the technical outcomes of your projects and their operational excellence, shaping architectural decisions and ensuring your code is suited for scaling and rapid iteration.
Responsibilities
Technical Skills & Engineering
- Lead technical design of complex ML features and systems, make sound architectural decisions, and provide effective documentation.
- Create durable technical examples and drive best-practices adoption, including testing and observability, documenting reusable patterns for work built alongside AI agents.
- Solve complex, ambiguous technical bugs that may require reaching outside your team for knowledge and resources.
- Stay fluent in modern AI-assisted development practices; lead technology and design evaluation and adoption.
- Design and refine ML features and pipelines with data scientists across the ML lifecycle.
Execution & Delivery
- Provide accurate estimates for projects, considering technical risks, team capacity, and the quality of AI-generated code.
- Eliminate systematic roadblocks through cross-functional influence, maintaining quality standards throughout the development cycle.
- Take full responsibility for successfully delivering major features or projects, managing risks and keeping stakeholders informed.
- Run and interpret A/B tests and statistical analyses to determine model and feature impact.
Customer Impact
- Collect customer feedback, usage, and product data to reach a deep understanding of customer workflows, using data to influence product direction.
- Partner with Product and Design to shape priorities based on real customer behavior and business goals.
- Define success at the outset, track adoption and impact, and drive post-launch iterations.
Collaboration & Team Growth
- Share feedback with team members on best practices, helping teammates work more effectively and take on larger work.
- Resolve ambiguities and provide clarity to team members, documenting what works so standards travel across the team.
- Work cross-functionally with product managers, data/AI scientists, and product engineers.
Qualifications
- BS, MS, or PhD in Computer Science or related field, or equivalent practical experience.
- 5+ years of experience.
- Knowledgeable with data science/AI tools and frameworks (Python, Scikit-learn, NLTK, NumPy, Pandas, TensorFlow, Keras, R, Spark).
- Solid understanding of ML techniques (classification, regression, clustering) and ML principles.
- Computer science fundamentals: data structures, algorithms, performance complexity, and computer architecture.
- Software engineering fundamentals: version control (Git/GitHub); ability to write production-ready code.
- Experience deploying highly scalable software supporting millions or more users; GPU acceleration (CUDA, cuDNN) and cloud (AWS, GCP) experience.
- Strong oral and written communication skills; able to explain complex material to non-technical audiences.
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 $171,000 - $231,500
San Diego, CA $154,000 - $208,500
See all Machine Learning Jobs at Intuit
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Jobs at Intuit.
Get Access To All JobsTips for Finding Machine Learning Jobs at Intuit
Align your ML portfolio to Intuit's products
Intuit's ML teams work on financial forecasting, natural language processing for tax guidance, and fraud detection. Frame your portfolio projects around these domains before applying. A generic computer vision project is less compelling than demonstrated experience with structured financial data.
Clarify your visa type before the recruiter screen
Intuit sponsors several visa categories, but each has different timelines and filing requirements. Tell the recruiter your current status, your authorization expiration date, and whether you're cap-subject before the first technical screen to avoid late-stage mismatches.
Time your application around the H-1B cap cycle
If you need H-1B sponsorship, USCIS opens registration in March for an October 1 start. Plan your Intuit application so an offer can realistically land in February or early March, giving the legal team enough runway to register you in that lottery cycle.
Use OPT STEM extension strategically at Intuit
F-1 graduates in ML qualify for the 24-month STEM OPT extension, which gives you up to three years of work authorization. Confirm with HR that Intuit is enrolled in E-Verify, a requirement for STEM OPT, before you rely on this timeline in your planning.
Prepare for a multi-round technical process
Intuit's ML interviews typically include a coding screen, an ML system design round, and a domain-specific case. Having your Green Card or visa timeline documented clearly lets you negotiate start dates confidently after clearing all rounds without scrambling for authorization details.
Find open ML roles at Intuit through Migrate Mate
Searching for visa-friendly ML openings manually is slow. Use Migrate Mate to filter Intuit's current Machine Learning roles by visa type, so you're only reviewing positions where your sponsorship category is already confirmed as supported.
Frequently Asked Questions
Does Intuit sponsor H-1B visas for Machine Learning roles?
Yes, Intuit sponsors H-1B visas for Machine Learning positions. The company files petitions through the standard USCIS cap process, with registration typically opening in March for an October 1 start date. If you're currently on F-1 OPT, coordinating your offer timeline around the H-1B lottery cycle is critical to avoid a gap in work authorization.
How do I apply for Machine Learning jobs at Intuit?
Start by identifying open ML roles that align with your specialization, whether that's NLP, recommendation systems, or financial forecasting. Apply through Intuit's careers portal and be upfront about your visa status in early recruiter conversations. You can browse current visa-sponsored openings filtered by role and visa type on Migrate Mate before submitting a formal application.
Which visa types does Intuit commonly use for Machine Learning hires?
Intuit sponsors a range of visa categories for ML roles, including H-1B, E-3 visa for Australian citizens, TN visa for Canadian and Mexican nationals, F-1 OPT and CPT for students, J-1 visa for exchange visitors, and employment-based Green Cards through the EB-2 and EB-3 pathways. The right category depends on your nationality, education level, and current immigration status.
What qualifications does Intuit expect for sponsored Machine Learning roles?
Most ML positions at Intuit require a bachelor's degree at minimum in computer science, statistics, or a related quantitative field, with a master's or PhD common for senior and research-oriented roles. Hands-on experience with large-scale data pipelines, model deployment, and frameworks such as TensorFlow or PyTorch is expected. Domain knowledge in fintech, NLP, or fraud detection strengthens your candidacy significantly.
How long does the visa sponsorship process take after receiving an Intuit offer?
Timeline depends on your visa category. H-1B petitions filed under standard processing take three to six months after USCIS receives the petition, while premium processing reduces that to 15 business days. E-3 and TN visas can often be obtained within a few weeks of receiving the offer letter and supporting documents. PERM-based Green Card sponsorship, if initiated, typically takes one to two years before a petition is filed.