Staff Machine Learning Engineer
MOUNTAIN VIEW, CA, United States • Posted May 31, 2026
Job Type:
Full-time
Location:
MOUNTAIN VIEW, CA
Posted:
May 31, 2026
Category:
other-general
Application Deadline:
June 08, 2026
Role Description
**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 commu...
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 commu...
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