AI Data Engineer Jobs at Intuit with Visa Sponsorship
Intuit hires AI Data Engineers across its consumer and small business platforms, with roles spanning ML pipelines, data infrastructure, and AI-driven product features. The company has a consistent track record of sponsoring work visas for technical talent, making it a realistic target if you need sponsorship.
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Come join Intuit as a Staff Machine Learning Engineer! In this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics.
Responsibilities
- Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
- Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
- Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
- Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.
- Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
Qualifications
- BS, MS, or PhD degree in Computer Science or related field, or equivalent work experience.
- 6+ years of experience
- Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
- Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
- Understand machine learning principles (training, validation, etc.)
- Knowledge of data query and data processing tools (i.e. SQL)
- Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
- Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
- Experience deploying highly scalable software supporting millions or more users
- Experience with GPU acceleration (i.e. CUDA and cuDNN)
- Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)
- Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will 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: Bay Area, CA: $197,000 - $266,500.
Overview
Come join Intuit as a Staff Machine Learning Engineer! In this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics.
Responsibilities
- Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
- Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
- Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
- Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.
- Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
Qualifications
- BS, MS, or PhD degree in Computer Science or related field, or equivalent work experience.
- 6+ years of experience
- Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
- Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
- Understand machine learning principles (training, validation, etc.)
- Knowledge of data query and data processing tools (i.e. SQL)
- Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
- Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
- Experience deploying highly scalable software supporting millions or more users
- Experience with GPU acceleration (i.e. CUDA and cuDNN)
- Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)
- Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will 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: Bay Area, CA: $197,000 - $266,500.
See all 24+ AI Data Engineer at Intuit jobs
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Get Access To All JobsTips for Finding AI Data Engineer Jobs at Intuit Jobs
Align your portfolio to Intuit's AI stack
Intuit's AI work centers on financial data, natural language processing, and predictive modeling for products like TurboTax and QuickBooks. Tailor your GitHub projects and case studies to show experience with production ML pipelines and large-scale data systems, not just exploratory notebooks.
Target roles labeled AI or ML explicitly
Intuit posts AI Data Engineer roles separately from general data engineering positions. Applying to the right requisition matters because sponsorship eligibility and the hiring team's familiarity with visa workflows differ across departments.
Raise sponsorship requirements early in recruiter screens
Intuit's technical recruiting team handles sponsorship questions at the offer stage, but confirming upfront that the role supports your visa type saves weeks. Ask directly whether the position is eligible for H-1B transfer or new cap-subject filing.
Use Migrate Mate to identify active AI Data Engineer openings
Intuit's sponsorship-eligible roles don't always stay open long. Use Migrate Mate to filter current AI Data Engineer postings at Intuit by visa type so you're applying to live roles that already match your authorization needs.
Prepare degree equivalency documentation before the offer stage
USCIS requires a specialty occupation showing for H-1B petitions. If your AI or computer science degree is from outside the U.S., get a credential evaluation from a NACES-approved evaluator before Intuit's immigration counsel begins the I-129 process.
Understand Intuit's PERM timeline if you're targeting permanent residence
For EB-2 or EB-3 sponsorship, DOL's PERM labor certification typically takes 12 to 18 months before the I-140 petition stage. Confirm during negotiations whether Intuit initiates PERM for AI Data Engineer roles and at what career level.
AI Data Engineer at Intuit jobs are hiring across the US. Find yours.
Find AI Data Engineer at Intuit JobsFrequently Asked Questions
Does Intuit sponsor H-1B visas for AI Data Engineers?
Yes, Intuit sponsors H-1B visas for AI Data Engineer roles. The company works with immigration counsel to file both cap-subject petitions and H-1B transfers for candidates already holding H-1B status. Sponsorship is typically initiated after an offer is extended, so confirming your visa needs early in the process with the recruiter avoids delays at the offer stage.
How do I apply for AI Data Engineer jobs at Intuit?
Apply directly through Intuit's careers site or use Migrate Mate to filter AI Data Engineer openings at Intuit by visa sponsorship type. Before applying, align your resume to Intuit's documented technical priorities, including ML pipeline development, large-scale data infrastructure, and AI feature work tied to financial products. Tailor your application to the specific product area the role supports.
Which visa types does Intuit commonly sponsor for AI Data Engineer roles?
Intuit sponsors a range of visa categories for AI Data Engineers, including H-1B, E-3 for Australian citizens, TN for Canadian and Mexican nationals, and F-1 OPT and CPT for students nearing graduation. For longer-term permanent residence, Intuit also supports EB-2 and EB-3 Green Card sponsorship through the PERM labor certification process for qualifying employees.
What qualifications does Intuit expect for AI Data Engineer candidates?
Intuit typically looks for a bachelor's or master's degree in computer science, data engineering, statistics, or a related field. Hands-on experience with distributed data systems, ML model deployment, and cloud infrastructure is expected. For USCIS H-1B specialty occupation purposes, the degree field should align directly with the technical scope of the role, not just the job title.
How long does the visa sponsorship process take once Intuit extends an offer?
For H-1B cap-subject filings, Intuit must submit the petition during the April filing window for an October 1 start date. If you already hold H-1B status with another employer, a transfer can allow you to start within two to three weeks of filing under portability rules. E-3 and TN processing through a U.S. consulate typically runs faster, often within a few weeks of filing.
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