Senior Machine Learning Engineer, Smart Money Services - Fraud & Financial Risk

Mountain View, California, United States

Availability unconfirmed, first seen by us 11 days ago

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Pay: $171,000–231,500/year · BaseAnnual period assumed — pay source
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
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Work setting: Not stated
Employment: Not stated

Before you apply

Employer’s visa record: 1,932 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.

What you’ll work on

Full posting

Conceive, code and deploy data science models at scale
Develop and maintain web services that orchestrate ML functions
Wrangle, clean and prepare data sources for machine learning
Build feature pipelines to train and deploy models
Run A/B tests and statistical analysis on model impact

From the employer’s posting

help conceive, code, and deploy data science models at scale

Help develop and maintain web services for the AI team which orchestrate various ML functions

Discover data sources, get access to them, import them, clean them up, and make them -machine learning ready

build pipelines to train and deploy models

Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models

What you’ll bring

All qualifications

Core experience

Demonstrated experience with web services (e.g.
Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users
Knowledge of data query and data processing tools (i.e.
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)

Qualification wording

Demonstrated experience with web services (e.g. REST) and API design.Experience with any of the following Object Oriented Languages (OOD): Scala, Python, Java preferred

Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users

Knowledge of data query and data processing tools (i.e. SQL)

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)

Education & alternatives

Qualifications - BS, MS, or PhD degree in Computer Science or related field, or equivalent work experience - 6+ years of experience

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Posting record

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Status in our records: Availability unconfirmed
First seen by us: Nov 2, 202611 days ago
Recorded sightings: 13
Last seen by us: Nov 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$171K–$232K against $166K–$240K, the middle half of what similar US postings state.

From 1,394 postings in the last year. Stated ranges, not salaries paid.

Intuit is hiring

57 open jobs

Open jobs by the week we first saw them, last 12 weeks.

ML Engineer hiring is picking up
Takes jobs down quickly

Hiring record

See how this role fits your experience

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Java
Python
Scala
SQL
AWS
Spark
Keras
NumPy
pandas
scikit-learn
TensorFlow

Where the posting names them

- Understand machine learning principles (training, validation, etc.) - Demonstrated experience with web services (e.g. REST) and API design.Experience with any of the following Object Oriented Languages (OOD): Scala, Python, Java preferred - Knowledge of data query and data processing tools (i.e. SQL)

- Demonstrated experience with web services (e.g. REST) and API design.Experience with any of the following Object Oriented Languages (OOD): Scala, Python, Java preferred - 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)

- Experience with GPU acceleration (i.e CUDA and cuDNN) - Experience with integrating applications and platforms with cloud technologies (i.e AWS) - Strong oral and written communication skills

- 6+ years of experience - Knowledgeable with Data Science tools and frameworks (i.ePython, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark) - Understand machine learning principles (training, validation, etc.)

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About Intuit

People: About 18,600 in 2026, up 2% from the year before.Annual report (SEC Form 10-K)
Company: Listed as INTU.
H-1B visas: 450 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Layoff notices: Notices this year and last cover 1,027 people. The latest was filed May 20, 2026.State WARN notices

Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

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

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
Help develop and maintain web services for the AI team which orchestrate various ML functions
Important skills include data wrangling, feature engineering, developing models, and testing metrics
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 to determine how they might connect with the customer benefits we wish to deliver

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.ePython, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark)
Understand machine learning principles (training, validation, etc.)
Demonstrated experience with web services (e.g. REST) and API design.Experience with any of the following Object Oriented Languages (OOD): Scala, Python, Java preferred
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) 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)
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 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

Source details

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Pay

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

Location & working pattern