Intuit

Senior Machine Learning Engineer, Credit Risk

Mountain View, California, United States

Actively hiring, first seen by us 1 day ago

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

What you’ll work on

Full posting

Help conceive, code, and deploy data science models at scale
Develop and maintain web services that orchestrate ML functions for the AI team
Discover, access, import, and clean data sources to make them machine learning ready
Build pipelines to train and deploy models, with feature engineering alongside data scientists
Run A/B tests and statistical analysis to measure the impact of models

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

Work with data scientists to create and refine features from the underlying data and 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

BS, MS, or PhD in Computer Science or related field, or equivalent work experience

Qualification wording

BS, MS, or PhD degree in Computer Science or related field, or equivalent work experience

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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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 2, 20261 day ago
Recorded sightings: 3
Last seen by us: Nov 4, 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 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 6 and day 69.

From 4,296 similar postings that came down. Coming down is not always a hire.

Intuit is hiring

62 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

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

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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Your next step

Complete your application on jobs.intuit.com. The employer’s form will show what is required.

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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 credit risk team(Team Apollo) as a Senior Machine Learning Engineer. Team Apollo is responsible for detecting and preventing credit risk for all lending money movement Services products.

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